M. DEFDAF Mabrouk

MCA

Directory of teachers

Department

DEPARTEMENT OF: ELECTRICAL ENGINEERING

Research Interests

Maintenance Industrial maintenance, Renewable energy, Diagnosis of electromechanical systems, Control of electrical systems

Contact Info

University of M'Sila, Algeria

Email : mabrouk.defdaf@univ-msila.dz

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Recent Publications

2024-12-26

Optimizing damping ratio in capacitive sensors to enhance accuracy and reduce noise

This paper presents a novel approach to optimizing damping in capacitive sensors to improve their accuracy, response time, and noise reduction. Both simulation and experimental methods were employed to evaluate the effectiveness of the proposed optimization techniques. The sensor’s accuracy was assessed by comparing the final displacement values from both the simulation and experimental data, yielding minimal discrepancies. The response time, defined as the time required for the sensor to stabilize after oscillations, was significantly improved by adjusting damping rates. Additionally, signal noise was analyzed by quantifying the error between the simulated and experimental data, revealing small, random deviations primarily caused by external disturbances. The results demonstrate that optimizing the damping characteristics enhances sensor performance, making the system more responsive, accurate, and reliable for high-precision applications. This study confirms the potential of simulation models for predictive analysis and optimization, offering insights into improving capacitive sensor designs for diverse industrial and technological applications.
Citation

M. DEFDAF Mabrouk, (2024-12-26), "Optimizing damping ratio in capacitive sensors to enhance accuracy and reduce noise", [national] International Journal of System Assurance Engineering and Management , Springer Nature

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2024-12-19

Enhanced Linear State Observer–Based PLL-Less Vector-Oriented Control Method for a Three-Phase PWM Rectifier

In practical three-phase PWM rectifiers, external disturbances, such as changes in load and grid voltage, and internal disturbances, such as DC capacitor uncertainty, have caused major problems, including DC-link voltage fluctuations, harmonic distortion, and power factor degradation. They can also cause problems with power balance, stability, system dynamics, reduced efficiency, and increased stress. This paper proposes an enhanced linear state observer (ELSO) with a PLL-less voltage-oriented control (PLL-less VOC) method for a three-phase PWM rectifier in the synchronous coordinate frame (dq coordinate), aiming to simultaneously improve the DC-link voltage dynamics, disturbance rejection ability, and the grid current control loop’s transient response. The ELSO is suggested instead of the load current sensor not only to estimate the disturbance but also to estimate the overall switching losses of the PWM rectifier, resulting in good DC-link voltage disturbance rejection and transient fluctuation suppression, high robustness against DC capacitance change, low size and cost, and high reliability. Furthermore, contrary to the traditional VOC method, where the PLL and Park transforms are important parts for controlling the rectifier in the dq coordinate, the PLL-less VOC method can control the grid currents directly in the dq coordinate without needing PLL and Park transforms, which can offer a fast transient response and low computational burden. The frequency domain analysis of the ELSO is used to identify its gains and enhance its stability and disturbance rejection capability. Finally, hardware-in-the-loop (HIL) simulation using the OPAL-RT 4510 real-time simulator is also given to confirm the superiority and efficacy of the suggested control method.
Citation

M. DEFDAF Mabrouk, (2024-12-19), "Enhanced Linear State Observer–Based PLL-Less Vector-Oriented Control Method for a Three-Phase PWM Rectifier", [national] International Transactions on Electrical Energy Systems , WILEY

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2024-03-01

Diagnosis and Monitoring Method for Detecting and Localizing Bearing Faults

nduction motors in modern industry are becoming more and more functional and complex. Unfortunately, these machines are not free from damages what make their fault diagnosis the most critical aspect of system monitoring and maintenance. Vibrational signal data yields relevant information about the state of the entire system, as well as specifically about one of its components that makes its analysis quite interesting. For this effect, the current paper aims to propose an automatic diagnosis and monitoring method for detecting and locating bearing faults in an induction motor based on vibration signal processing. The suggested method combines the discrete wavelet transform (DWT) with the envelope spectrum (ENV) as advanced signal processing, incorporating a machine learning algorithm based on random forest classifier. The discrete wavelet transforms (DWT), using the Haar wavelet, decomposes the vibrational signal to provide both approximations and details. Each detail is then reconstructed to avoid any missing of information. To precisely select the reconstructed detail (𝑅𝑒𝑐𝑑𝑘) that provides pertinent information about bearing faults, a statistical study is conducted. This study involves calculating four indicators (Root mean square (RMS), correlation coefficient (CC), energy coefficient (EC) and peak to peak (P2P) factor) is performed for each (𝑅𝑒𝑐𝑑𝑘). These indicators are compared with threshold indicators, and this criterion is met by the reconstructed details 1 and 3. The obtained reconstructed details are then subjected to the spectral envelope analysis to detect the fault frequencies, which are considered as new features entering the random forest classifier model. This combination of approaches allows better feature extraction and structuring of the dataset, leading to improved accuracy of the random forest classifier, achieving a higher classification rate of more than 99,53 %. The proposed DWT-ENV-RF method indicates well its efficiency when compared to other recent works, and the attained results are all confirmed by the experimental tests conducted in the CWRU laboratory.
Citation

M. DEFDAF Mabrouk, (2024-03-01), "Diagnosis and Monitoring Method for Detecting and Localizing Bearing Faults", [national] Indonesian Journal of Electrical Engineering and Informatics (IJEEI) , Institute of Advanced Engineering and Science

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2024-01-05

Design and PIL implementation of a new robust backstepping based low-complexity voltage-oriented control method for four-leg rectifiers

This paper proposes a low computational complexity enhanced voltage-oriented control strategy (EVOC) based on robust backstepping controllers (BSC) in the synchronous rotating frame (dq0 frame) for a PWM four-leg voltage-source-rectifier (FLVSR). Unlike traditional VOC strategies, the suggested EVOC approach does not need any synchronization method and Park transformations, and it has the similar architecture and same features as the traditional VOC when it’s synchronization loop for grid voltage phase angle detection is properly operated. In addition to controlling the FLVSR, the suggested EVOC strategy is also used to develop the model of the three phase FLVSR in the dq0 frame using the concepts of direct instantaneous power control (DPC) theory, which combine the benefits of traditional DPC and traditional VOC with less computational complexity. The robust BSC is adopted for accurate regulation of FLVSR input currents and dc bus voltage simultaneously while taking into account the FLVSR parameter uncertainties. It produces sinusoidal currents with lower ripples and has high robustness against parametric variations. It is also simple to implement and has a relatively high grid voltage disturbance rejection ability. Finally, comparisons with both the traditional VOC strategy using PI controllers (VOC-PIC) and the EVOC strategy using PI controllers (EVOC-PIC) under various conditions demonstrate the superiority and benefits of the proposed EVOC-BSC strategy.
Citation

M. DEFDAF Mabrouk, Abdelhalim Kessal, , (2024-01-05), "Design and PIL implementation of a new robust backstepping based low-complexity voltage-oriented control method for four-leg rectifiers", [national] International Journal of Electrical Power & Energy Systems , Elsevier Ltd

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2023-08-29

A Model-Free Approach for Solving the Inverse Kinematics of Continuum Robots

The kinematics modeling of continuum robots is still a challenging task because of the continuum robot’s infinite degrees of freedom. To address this issue, in the first part of this paper, an approximate equation for solving the forward kinematic model (FKM) of variable curvature (VC) continuum robots is proposed and mainly based on an exiting empirical formula for continuum robots. Then, this approximate equation is compared in terms of accuracy to the previously established equations for solving the FKM. After establishing the FKM, detailed steps to solve the inverse kinematic model (IKM) of a VC continuum robot is developed based on particle swarm optimization (PSO). To emphasize, the used PSO to solve the inverse kinematic model is thoroughly explained. To verify the efficiency of the proposed PSO to solve the IKM of continuum robots, simulations analysis of continuum robots during trajectory tracking are carried out through MATLAB environment. It is noteworthy to say that through the exact methodology to solve the IKM of continuum robots and can also be used to generate data about any kind of continuum robots regarding IKM.
Citation

M. DEFDAF Mabrouk, (2023-08-29), "A Model-Free Approach for Solving the Inverse Kinematics of Continuum Robots", [national] Advances in Engineering Research , nova science publishers

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2023-07-03

NEW MODELING AND ENHANCED CONTROL STRATEGY FOR GRID-CONNECTED FOUR-LEG INVERTER WITHOUT PHASE-LOCKED LOOP AND PARK’S TRANSFORMATION

This paper proposes an enhanced voltage-oriented control strategy (EVOC) based on super twisting sliding mode control (STSMC) for a grid-connected four-leg source voltage inverter (GC-FLVSI) in the synchronous rotating frame (dq0–frame) without using a phase-locked loop (PLL) and Park's transformation. The proposed strategy is used not only to control the dq0–axes FLVSI inject currents but also to derive the mathematical model of the GC-FLVSI in the dq0–frame based on the direct instantaneous power control theory (DPC) and to eliminate the impact of PLL and Park's transformation. The principle of the proposed EVOC strategy is analyzed in detail. The STSMC is used for accurate dq0–axes FLVSI inject current control, and it can result in sinusoidal currents with high quality, high robustness against parametric variations, and low chattering with easy implementation. Finally, the superiority of the proposed EVOC-STSMC strategy in terms of complexity, response, steady-state errors, robustness, total harmonic distortion (THDs) mitigation, neutral current reduction, and robustness against parameter variations is verified through comparative analysis with the EVOC strategy based on the PI controller (EVOC-PIC).
Citation

M. DEFDAF Mabrouk, ABDELHALIM KESSAL, , (2023-07-03), "NEW MODELING AND ENHANCED CONTROL STRATEGY FOR GRID-CONNECTED FOUR-LEG INVERTER WITHOUT PHASE-LOCKED LOOP AND PARK’S TRANSFORMATION", [national] Revue Roumaine des Sciences Techniques - Serie Électrotechnique et Énergétique , ACADEMIEI ROMANE

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2023-04-03

New Modeling and Improved Current Control Strategy to Eliminate the Impact of Synchronization Method and Parks Transformation for Grid-connected Four-leg PWM Inverter

The synchronization method’s ability is one of the fundamental guarantees for the stability and accuracy of injected current control for grid-connected converter-based distribution resources. These synchronization methods, such as phase locked loop (PLL), are generally based on Park transformation and grid voltage regulation, which may affect an unstable phenomenon under distortion and unbalanced grid voltage conditions and result in more computational complexity. In this present paper, analogous to the traditional voltage-oriented control strategy (VOC) in the synchronous rotating frame (dq0-frame) based on PLL and Parks transformation, an improved voltage-oriented control strategy (IVOC) without synchronization methods and Parks transformation is proposed for grid-connected four-leg inverters (GC-FLVSI) to achieve accurate current control with high-quality performance in the dq0-frame. This proposed strategy is not only used for controlling the GC-FLVSI but also to provide the module of GC-FLVSI in the dq0-frame based on the instantaneous active and reactive powers theory (DPC). The proposed IVOC strategy has the same properties and identical performance as the traditional VOC when the grid phase angle is correctly detected by any synchronization method, with the advantages of both traditional DPC and VOC at the same time. In order to validate the superiority and excellent dynamic and steady-state performances of the proposed IVOC strategy in comparison with the traditional VOC strategy, some simulation scenarios using MATLAB/Simulink under different operations and grid conditions have been performed and presented.
Citation

M. DEFDAF Mabrouk, Anwar Guessabi, , (2023-04-03), "New Modeling and Improved Current Control Strategy to Eliminate the Impact of Synchronization Method and Parks Transformation for Grid-connected Four-leg PWM Inverter", [national] Periodica Polytechnica Electrical Engineering and Computer Science , Romanian Academy, Publishing House of the Romanian Academy

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2023-03-26

Un accéléromètre LoT connecter a un robot continu pour mésure et modélisé le mouvement et les angles.

Un accéléromètre LoT (Internet des Objets) connecté à un robot continu représente une solution innovante pour mesurer et modéliser le mouvement ainsi que les angles du robot. Cette technologie combine la sensibilité de l'accéléromètre pour détecter les accélérations et les inclinaisons avec la connectivité LoT, permettant la transmission en temps réel des données. En utilisant ces informations, le robot continu peut être surveillé de manière précise, permettant une modélisation dynamique de ses déplacements et de ses positions angulaires. Cette approche offre des avantages significatifs pour la surveillance, la commande, et l'optimisation des performances du robot, contribuant ainsi à une meilleure compréhension et gestion de son mouvement. En résumé, l'utilisation d'un accéléromètre LoT connecté à un robot continu permet une surveillance en temps réel, une modélisation précise du mouvement et des angles, et offre des applications potentielles dans des domaines tels que la robotique industrielle, la recherche en robotique, et d'autres secteurs connexes.
Citation

M. DEFDAF Mabrouk, Selman Djeffal,, , (2023-03-26), "Un accéléromètre LoT connecter a un robot continu pour mésure et modélisé le mouvement et les angles.", [national] Université Mohamed Boudiaf de M'sila

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2023-03-01

stylet d'enregistrement de contraste base sur un accelerometre.

stylet d'enregistrement de contraste base sur un accelerometre.
Citation

M. DEFDAF Mabrouk, selman djeffal, atef chibani, larbi bendada, , (2023-03-01), "stylet d'enregistrement de contraste base sur un accelerometre.", [national] Université Mohamed Boudiaf M'sila

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2023-02-10

Robust Adaptive Fuzzy Backstepping Control for 2-DOF Laboratory Helicopter System with Improved Tracking Performance

In this paper, a Robust Adaptive Fuzzy Backstepping Control (RAFBC) is applied to electromechanical system which called Twin Rotor Multi Input Multi Output System (TRMS) in order to follow the desired trajectory. This strategy yields robustness to various kinds of uncertainties and guaranteed stability of the closed-loop control system. The adaptive laws have been used in order to ameliorate the robustness against uncertainties, wind effects and external disturbances. The stability of system in the closed-loop has been demonstrated using Lyapunov method. In the control design, type 2 fuzzy logic systems are used to approximate the unknown functions. Hybrid adaptive robust tracking control schemes that are based upon a combination of bounds of type 2 fuzzy approximation parameters and the backstepping design are developed such that all the states and signals are bounded and the proposed approach alleviate the online computation burden and improves the robustness to dynamic uncertainties and external disturbances. In addition, the coupling effects between the horizontal and vertical subsystems of TRMS are considered as uncertainties. Thus, precise trajectory tracking is maintained under various operational conditions with the presence of various types of uncertainties. Unlike other controllers, the proposed control algorithm can estimate model uncertainties online and improve the robustness of the system. Experimental tests were carried out and the results demonstrate that the proposed algorithm performs well in tracking and under model uncertainties.
Citation

M. DEFDAF Mabrouk, (2023-02-10), "Robust Adaptive Fuzzy Backstepping Control for 2-DOF Laboratory Helicopter System with Improved Tracking Performance", [national] International Review of Automatic Control (IREACO) , scholarly publishing

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2022-08-31

A NOVEL TECHNIQUE BASED ON IoT ACCELEROMETER FOR TRANSMITTING CIRCULAR CHART RECORDERS TO ELECTRICAL DATA

The omnipresence of the Internet of Things (IoT)-based accelerometer in the industry has been considered as an alternative to paper chart recorder yet it is unprecedentedly tested on pressure recording variation. To this end, this paper contributes to the improvement of data acquisition which is obtained from pressure chart recorders through accelerometer devices. Firstly, the accelerometer device is thoroughly described. Then, the implementation of the accelerometer and IoT-based accelerometers in a variety of domains is discussed. Secondly, the used materials to carry out the bench test are presented, namely accelerometer, ADXL345, H3LIS331DL, Barton , DEWEIT pressure chart recorder, Raspberry pi and Arduino. The aforementioned devices are purposefully coupled, explicitly two types of accelerometers are plugged into the raspberry pi for the sake of comparing the accuracy of transmitting mechanical to electronic charts. Finally, it is found that the accelerometers combined with wireless communication can offer a reliable alternative for expensive tasks. In addition, it perfectly facilitates data acquisition from a pressure chart recorder which is considered the first integration of an accelerometer in a pressure chart recorder. Interestingly, the H3LIS331DL accelerometer is way better than ADXL345 when it comes to processing high-pressure variation more than 3900 PSI with in few seconds. It is noteworthy to say that the proposed IoT-based accelerometer to assess the pressure variation in the industry is considered for the first time as an electrical chart recorder.
Citation

M. DEFDAF Mabrouk, selmane djeffal, nacer belhout, , (2022-08-31), "A NOVEL TECHNIQUE BASED ON IoT ACCELEROMETER FOR TRANSMITTING CIRCULAR CHART RECORDERS TO ELECTRICAL DATA", [national] UPB Scientific Bulletin, Series C: Electrical Engineering , The Scientific Bulletin

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2022-07-20

MEMS accelerometer and gyroscope in navigation technology

This paper provides an overview of the use of Micro-Electro-Mechanical Systems (MEMS) accelerometer and gyroscope in navigation technology. We present the principles of operation, advantages and limitations of MEMS accelerometer and gyroscope. We also discuss the various accelerometer types and gyroscope to improve the navigation accuracy. We highlight the applications of MEMS accelerometer and gyroscope in various fields such as mobile devices, autonomous vehicles, and drones. Furthermore, we also explore the challenges and future research directions in the field of MEMS accelerometer and gyroscope technology in navigation. This paper gives a comprehensive understanding of the use of MEMS accelerometer and gyroscope in navigation technology and it will be useful for researchers and engineers working in this field.This paper provides an overview of the use of Micro-Electro-Mechanical Systems (MEMS) accelerometer and gyroscope in navigation technology. We present the principles of operation, advantages and limitations of MEMS accelerometer and gyroscope. We also discuss the various accelerometer types and gyroscope to improve the navigation accuracy. We highlight the applications of MEMS accelerometer and gyroscope in various fields such as mobile devices, autonomous vehicles, and drones. Furthermore, we also explore the challenges and future research directions in the field of MEMS accelerometer and gyroscope technology in navigation. This paper gives a comprehensive understanding of the use of MEMS accelerometer and gyroscope in navigation technology and it will be useful for researchers and engineers working in this field.
Citation

M. DEFDAF Mabrouk, selman djeffal, , (2022-07-20), "MEMS accelerometer and gyroscope in navigation technology", [international] 3rd International Conference on Applied Engineering and Natural Sciences , Konya/Turkey.

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2022

Different MEMS-based accelerometers types

This paper presents an overview of different types of Micro-Electro-Mechanical Systems (MEMS) based accelerometers and their applications in various fields. We provide a comprehensive analysis of the different types of MEMS accelerometers, including capacitive, piezoresistive, and piezoelectric accelerometers. We discuss their advantages and disadvantages, such as sensitivity, power consumption, resolution, and frequency range. We also present the most recent advancements in MEMS accelerometer technology and their potential in various fields such as automotive, aerospace, consumer electronics, and healthcare. Furthermore, we also highlight the challenges and future research directions in the field of MEMS accelerometer technology. In summary, this paper provides a comprehensive understanding of the different types of MEMS-based accelerometers, their applications, and recent advancements, which will be useful for researchers and engineers working in the field of MEMS-based accelerometer technology.
Citation

M. DEFDAF Mabrouk, (2022), "Different MEMS-based accelerometers types", [international] Conference: 3rd International Conference on Applied Engineering and Natural Sciences , Konya/Turkey.

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An Automatic Diagnosis of Bearing Faults of an Induction Motor Based on FFT-ANN

The present paper proposes a diagnosis and monitoring method for detecting and locating bearing faults in an induction motor based on vibration signal processing. The proposed method served to combine Fast Fourier Transform as an advanced signal-processing tool with the Artificial Neural Network (ANN). This study starts in a first stage with the application of the FFT in order to extract frequencies characterizing the fault of the three vibration signals , and . These frequencies will be used in a second stage as inputs of the proposed ANN to locate the bearing’s undamaged components. The features extracted in this study for training the ANN model are the , , , and . Therefore, the results generated by ANN indicate a satisfactory outcome with a higher classification rate of 98.93 %. The suggested FFT-ANN method successfully demonstrates its effectiveness, and the acquired results are completely validated by experiments carried out in the CWRU.
Citation

M. DEFDAF Mabrouk, (2022), "An Automatic Diagnosis of Bearing Faults of an Induction Motor Based on FFT-ANN", [international] icateee2022 , msila

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Experimental Study of Bearing Fault Diagnosis Using Vibration Signal - Kurtogram

Abstract. The maintenance of the induction motor by the mean of vibration analysis has advanced significantly in recent years, thanks to sophisticated signal processing techniques. These techniques allow detecting at an early state the existence of a fault. The present paper proposes a diagnosis method for detecting bearing faults. This method uses the Kurtogram for diagnosing the bearing fault based on the frequency characterizing fault of the inner and outer race. The results attained are all verified after many experimental tests conducted in the CWRU.
Citation

M. DEFDAF Mabrouk, (2022), "Experimental Study of Bearing Fault Diagnosis Using Vibration Signal - Kurtogram", [international] Le 2 iéme Séminaire International en Génie Industriel et Mathématiques Appliquées , skikda

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Prototype of an affordable continuum robot-based IoT accelerometer and its kinematic modeling

The continuum robot-based IoT has been the focus of researchers over the last decades because of its affordability and cost-less manufacturing. To this end, in this paper, the continuum robot’s design is briefly described. Then the forward kinematic modeling (FKM) for a single-section continuum robot is derived and from which a new empirical formula for the FKM is proposed to simplify its mathematical complexity. After that, Particle swarm optimization (PSO) is adopted to figure out the inverse kinematic model of a single-section continuum robot.
To verify the reliability of the proposed empirical formula as well as PSO efficiency, a graceful prototype of a continuum robot coupled with data logger named accelerometer 345 is attached to the robot’s end-effector to record its positions for given bending angles. Finally, the obtained robots' end effector positions from the accelerometer are used as inputs to PSO, and it found that the resulting bending angles from both PSO and the angle meter are overlapped. It is noteworthy to say that the proposed technique of logging a data-based accelerometer for tracking continuum robots is considered for the first time as an alternative technique to perfectly track the robot’s motion.
Citation

M. DEFDAF Mabrouk, selman djeffal, , (2022), "Prototype of an affordable continuum robot-based IoT accelerometer and its kinematic modeling", [international] 2022 International Conference of Advanced Technology in Electronic and Electrical Engineering (ICATEEE , M'sila

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The ideal capacitive accelerometer damping rate choice to minimize the measurement error

For its remarkable features, accelerometers are widely used in a wide range of fields yet accelerometers vary in terms of accuracy which significantly impacts the accelerometers measurements errors. To this end, in this paper, the previously achieved results of the damping rate are compared with the proposed one that aims at reducing the measurement error. Firstly, the different types of accelerometers and their definitions are introduced. Secondly, the electromechanical-based mathematical model of accelerometer is derived. Thirdly, a comparative study is conducted for the sake of comparing the already obtained results regarding damping rate and the proposed damping rate value in this current work. Then, the accelerometers stabilization when subjected to a harmonic vibration is evaluated in order to identify its performance. Finally, simulation examples through MATLAB are carried out. In the first simulation, the measurement errors of accelerometers in function of frequency ratio are graphically presented through the implementation of two existing damping ratios and the obtained damping ratio in this research. Additionally, the variation capacitance through the utilization of two damping ratios and the proposed ratio. Based on the carried out simulations, the maximum measurement errors has decreased to 0.06 % when using the proposed damping ratio in this research, which itself proves the accuracy of the developed mathematical model.
Citation

M. DEFDAF Mabrouk, selman djeffal, , (2022), "The ideal capacitive accelerometer damping rate choice to minimize the measurement error", [international] 2022 2nd International Conference on Advanced Electrical Engineering (ICAEE) , Constantine, Algeria

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The Best Choice Of The Capacitive Accelerometer Damping Rate For The Reduction Of The Measurement Error

MEMS accelerometers play important role in the field of sensors. The high demand for acceleromter is determined by their application. In the transportation industry, where they are used to activate safety systems, including airbags, systems of vehicle stability, and electronic suspension. Most MEMS accelerometers use capacitive sensing to detect small acceleration changes Because of their size and affordability Very Large-Scale Integration, VLSI. There are single and two-axis accelerometers therefore, a three-axis accelerometer is used to detect rollovers and deploy side airbags. Some of the advanced applications of multi-axis accelerometers include electronic stability control, automotive headlight leveling, and vehicle alarm. Three-axis accelerometer this type of seismometer inertial sensor can carry out all three axes acceleration or displacement simultaneously; MEMS capacitive accelerometer convert movements to signal electric The MEMS capacitive accelerometers are usually consisted two parts stator part fixed electrode and movable part a proof mass which is connected to the frame by an elastic element (spring). When the device is under movement, an inertial force displaces the proof mass varying the sensing gap or beams and the resulting capacitance change between the fixed and movable combs or electrode. The problem often with the accelerometer is the precision of sensitivity measurement, so we have to improve their parameters. The problem often with the accelerometer is the measurement accuracy, and to optimize it, the parameters of this device must be improved. The application of Newton's second law makes it possible to extract the mathematical model from the mechanical part of the accelerometer, assuming that the latter is considered as a mass, spring and damper system. To improve the measurement accuracy of the accelerometer to the maximum, it should reduce the measurement error to a value of 0.1% by the best choice of the damping rate.
Citation

M. DEFDAF Mabrouk, (2022), "The Best Choice Of The Capacitive Accelerometer Damping Rate For The Reduction Of The Measurement Error", [international] 1st International Conference on Modern Electrical Engineering and Technology , Mohamed Cherif Messaidia University, Souk Ahras, Algeria

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A NOVEL, MACHINE LEARNING-BASED FEATURE EXTRACTION METHOD FOR DETECTING AND LOCALIZING BEARING COMPONENT DEFECTS

Vibration analysis for conditional preventive maintenance is an essential tool for the industry. The vibration signals
sensored, collected and analyzed can provide information about the state of an induction motor. Appropriate
processing of these vibratory signals leads to define a normal or abnormal state of the whole rotating machinery,
or in particular, one of its components. The main objective of this paper is to propose a method for automatic
monitoring of bearing components condition of an induction motor. The proposed method is based on two
approaches with one based on signal processing using the Hilbert spectral envelope and the other approach uses
machine learning based on random forests. The Hilbert spectral envelope allows the extraction of frequency
characteristics that are considered as new features entering the classifier. The frequencies chosen as features are
determined from a proportional variation of their amplitudes with the variation of the load torque and the fault
diameter. Furthermore, a random forest-based classifier can validate the effectiveness of extracted frequency
characteristics as novel features to deal with bearing fault detection while automatically locating the faulty
component with a classification rate of 99.94%. The results obtained with the proposed method have been validated
experimentally using a test rig.
Keywords: Induction motor, bearing, fault, outer race, inner race, ENV, RF
Citation

M. DEFDAF Mabrouk, (2022), "A NOVEL, MACHINE LEARNING-BASED FEATURE EXTRACTION METHOD FOR DETECTING AND LOCALIZING BEARING COMPONENT DEFECTS", [national] METROLOGY AND MEASUREMENT SYSTEMS , Polish Academy of Sciences

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2021

A new transform discrete wavelet technique based on artificial neural network for induction motor broken rotor bar faults diagnosis

The main objective of this article is to contribute the automatic fault diagnosis of broken rotor bars in three-phase squirrel-cage induction motor using vibration analysis. In fact, two approaches are combined to do so, based on signal processing technique and artificial intelligence technique. The first technique is based on discrete wavelet transform (DWT) to detect the harmonics that characterize this fault, using the Daubechies wavelet vibration analysis according to three axes (X, Y, Z). This application permits having the approximation mode function and the details (recd). To exact choice of reconstruction details which contains the information of the broken rotor bars faults, two statistical studies based on the root mean square values (RMS) and Kurtosis shock factor calculation are carried out for each (recd). The choice of (recd) is conditioned by (RMS) and Kurtosis values as: RMSrecd1 < RMSrecd2 and Kurtosisrecd1 > Kurtosisrecd2. Experimental results showed that (recd1 and recd2) satisfied the condition set for (RMS) and Kurtosis values. At the end of first technique, a spectral envelop of recd1 is adopted to detect the broken rotor bars fault and the second technique based on artificial neural network (ANN) is used to identify the number of broken rotor bars. The characteristics of features used as input variables of ANN are the RMS of recd1 and recd2, and the Kurtosis shock factor of recd1 and recd2. The experimental results demonstrated the high efficiency of the proposed method with rotor broken bars fault classification rate of 98.66%.
Citation

M. DEFDAF Mabrouk, Fouad Berrabah, Ali Chebabhi, Bilal Djamal Eddine Cherif, , (2021), "A new transform discrete wavelet technique based on artificial neural network for induction motor broken rotor bar faults diagnosis", [national] International Transactions on Electrical Energy Systems , Wiley

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Diugnosis of Three-Phase Two-Level Voltage Inverter under Open-Ci uit Fault of un IGBT

Stator current signals are widely used in fault detection and monitoring of voltage inverters. This paper proposes a method of automatic faultdiagnosis
voltage inverters. The emphasis is on a signal processing technique and an artificial intelligence technique to detect and locate the open-circuit fault of an IGBT
in an inverter feeding induction motor. The first technique is based on the fourier
transform (FT) to detect the amplitude of the three harmonics (continuous component: f0, the amplitude of the fundamental harmonic: f50 and the harmonic which
characterizes the open-circuit fault of an IGBT: f100) for each phase current (ias,
ibs and ics). The second technique is based on the artificial neural network (ANN),
to locate the faulty IGBT. The characteristics used to train the ANN model are the
amplitudes of three frequencies f0, f50 and f100. The results obtained by the ANN
show a good performance with a very high classification rate equal to 97.50%.
Keywords: Induction motor · Inverter · Fault · Open-circuit · IGBT · FT · ANN
Citation

M. DEFDAF Mabrouk, (2021), "Diugnosis of Three-Phase Two-Level Voltage Inverter under Open-Ci uit Fault of un IGBT", [international] Diugnosis of Three-Phase Two-Level Voltage Inverter under Open-Ci uit Fault of un IGBT , ESC-Ko1éa-Tipasa, Algeria.

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Appropriate Choice of Damping Rate and Frequency Margin for Improvement of the Piezoelectric Sensor Measurement Accuracy

In industrial installations, the piezoelectric sensor plays a very important role in the monitoring of electromechanical systems and the detection of their early defects. Modeling is the mathematical presentation of the operating principle of the piezoelectric sensor, it allows to transform this principle to equations, these equations allow to improve the performances of this sensor and to propose new designs. In this work, the effects of piezoelectric materials are explained and the piezoelectric sensor is described. The physical behavior of the sensor is modeled and extracted a formula relates the accuracy as a function of relative movement (vibratory displacement). The model developed is validated by simulation and by experimental tests and the appropriate choice of the damping rate makes it possible to improve the parameters of the piezoelectric sensor and to progress the vibratory analysis technique.
Citation

M. DEFDAF Mabrouk, SAAD Salah, , (2021), "Appropriate Choice of Damping Rate and Frequency Margin for Improvement of the Piezoelectric Sensor Measurement Accuracy", [national] Journal of Advanced Manufacturing Systems , World Scienti¯c Publishing Company

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2019

A Study of SVM-DTC and Conventional DTC for Induction Motors Drive Fed by Five-level Inverter

In order to reduce torque and flux fluctuations as well as harmonic currents distortion, two models were developed, the first is based on conventional DTC and the second is based on the SVM-DTC, controlling induction motor fed by a Five-level inverter. PI controller is employed for flux and torque control in order to obtain reference voltages Vd and Vq that will be used in the SVM algorithm. The developed models were validated by simulation tests and the obtained results have showed
the advantages of DTC-SVM control over conventional DTC in harmonic currents distortion, torque and flux fluctuations reductions.
Citation

M. DEFDAF Mabrouk, Salah Saad, , (2019), "A Study of SVM-DTC and Conventional DTC for Induction Motors Drive Fed by Five-level Inverter", [national] European Journal of Electrical Engineering (EJEE) , International Information and Engineering Technology Association (IIETA)

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2018

Modélisation de la Sureté de Fonctionnement des Systèmes de Production par les Chaines de Markov et les Réseaux de PETRI

Dans le domaine industriel, les sociétés doivent expliquer des politiques de maintenance
intégrées pour rester dans la tête de la pyramide. L'objectif de cette étude est l'intégration de la
politique de maintenance du système de production pour améliorer sa sûreté de fonctionnement et sa
productivité totale. σotre but à travers cet article est d’améliorer les performances d'un système de
production qui assurent plusieurs critères dont les principaux sont : la disponibilité, Maintenabilité,
Fiabilité et le Coût et la productivité. Les facteurs qui influencent chaque critère sont les attributs de
base. Les moyens d'actions sont plusieurs politiques de maintenance disponible. Les réseaux de Petri
et les chaine de MARKOV nous donnent un meilleur outil pour faciliter l'analyse et le choix de la
politique de maintenance qui doit être intégré sous une perspective totale qui consiste à concevoir et
d’emporter un système d'assistance au choix de cette dernière dans un système avec processus
continu.
Mots clés : SDF, Réseaux de Petri, Chaine de MARKOV, Fiabilité, Disponibilité.
Citation

M. DEFDAF Mabrouk, (2018), "Modélisation de la Sureté de Fonctionnement des Systèmes de Production par les Chaines de Markov et les Réseaux de PETRI", [international] International Seminar in Industrial Engineering and Applied Mathematics (ISIEAM'2018) , Université 20 aout Skikda

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2017

Improvement of Method Queues by Progress of the Piezoresistive Accelerometer Parameters

In this paper the queues are used as a method to improve maintenance performance. The
information collected by vibration analysis is used to check the system status and see whether a
maintenance operation is to be organized. Thus, for a precise decision, the improvement of
accelerometer parameters is required. In order to solve this issue, the piezoresistive accelerometer
step and impulse responses are enhanced by using appropriate parameters (damping
rate and frequency range). Computer simulation tests were conducted to con¯rm this approach.
The obtained results have shown the di®erence between the accelerometer with the proposed
parameters and the accelerometer used in the experiment. It can be concluded that the proposed
parameters provide stable and accurate accelerometer.
Keywords: Method queues; accelerometer; damping; error; measurement.
Citation

M. DEFDAF Mabrouk, Aoel. Elias Hadjaj, Salah Saad, , (2017), "Improvement of Method Queues by Progress of the Piezoresistive Accelerometer Parameters", [national] Journal of Advanced Manufacturing Systems , World Scientific Publishing Company

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Improvement of method queues by progress of the piezoresistive accelerometer parameters

In this paper the queues are used as a method to improve maintenance performance. The information collected by vibration analysis is used to check the system status and see whether a maintenance operation is to be organized. Thus, for a precise decision, the improvement of accelerometer parameters is required. In order to solve this issue, the piezoresistive accelerometer step and impulse responses are enhanced by using appropriate parameters (damping rate and frequency range). Computer simulation tests were conducted to confirm this approach. The obtained results have shown the difference between the accelerometer with the proposed parameters and the accelerometer used in the experiment. It can be concluded that the proposed parameters provide stable and accurate accelerometer.
Citation

M. DEFDAF Mabrouk, (2017), "Improvement of method queues by progress of the piezoresistive accelerometer parameters", [national] Journal of Advanced Manufacturing Systems , World Scientific Publishing Company

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