The Experts below are selected from a list of 16104 Experts worldwide ranked by ideXlab platform
A. Khezzar - One of the best experts on this subject based on the ideXlab platform.
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Static air-gap eccentricity fault diagnosis using rotor slot harmonics in line Neutral Voltage of three-phase squirrel cage induction motor
Mechanical Systems and Signal Processing, 2017Co-Authors: M. El Kamel Oumaamar, M. Boucherma, Yassine Maouche, A. KhezzarAbstract:Abstract The mixed eccentricity fault detection in a squirrel cage induction motor has been thoroughly investigated. However, a few papers have been related to pure static eccentricity fault and the authors focused on the RSH harmonics presented in stator current. The main objective of this paper is to present an alternative method based on the analysis of line Neutral Voltage taking place between the supply and the stator Neutrals in order to detect air-gap static eccentricity, and to highlight the classification of all RSH harmonics in line Neutral Voltage. The model of squirrel cage induction machine relies on the rotor geometry and winding layout. Such developed model is used to analyze the impact of the pure static air-gap eccentricity by predicting the related frequencies in the line Neutral Voltage spectrum. The results show that the line Neutral Voltage spectrum are more sensitive to the air-gap static eccentricity fault compared to stator current one. The theoretical analysis and simulated results are confirmed by experiments.
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Modeling and simulation of stator turn faults. Detection based on stator circular current and Neutral Voltage
2013 9th IEEE International Symposium on Diagnostics for Electric Machines Power Electronics and Drives (SDEMPED), 2013Co-Authors: Yassine Maouche, M. Boucherma, Abdelfettah Boussaid, A. KhezzarAbstract:Most existing electrical faults in induction machines are stator turn faults; therefore the modeling of this defect appears very interesting. A number of authors have treated the modeling of this defect by completely changing the model from healthy to a defective one. This paper deals with the modeling of induction machines considering both healthy and faulty stator cases. The aim of this work is to make the electrical matrix parameters as a function of stator winding distribution. The consequence of both, fault degree and fault location are also considered. Stator faults detection are based on frequency analysis of the zero sequence for delta connected winding and on Neutral Voltage for wye connected winding. The simulation results show that the significant increase or decrease of certain harmonics can be used to detect short circuited turns in the machine stator.
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Induction Motor Diagnosis Using Line Neutral Voltage Signatures
IEEE Transactions on Industrial Electronics, 2009Co-Authors: A. Khezzar, M. El Kamel Oumaamar, M. Hadjami, M. Boucherma, Hubert RazikAbstract:This paper presents an analytical approach to shed light on the necessary relationships required for the presence of induction motor diagnosis signatures in the line Neutral Voltage (the Voltage taking place between the supply and the stator Neutrals). Special attention is focused on the effect of both space distribution of rotor bars and rotor dissymmetry on the mechanism of generation of diagnosis signatures with consideration of Voltage supply unbalance and speed ripples. Generalized and new formulas are proposed, where we can draw a conclusion on the state of the machine. Simulation and experimental results have shown excellent match with theoretically predicted harmonic components.
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Neutral Voltage Analysis for Broken Rotor Bars Detection in Induction Motors Using Hilbert Transform Phase
2007Co-Authors: M. El Kamel Oumaamar, A. Khezzar, Hubert Razik, M. Boucherna, Rijaniaina Njakasoa Andriamalala, Lotfi BaghliAbstract:Most of rotor related faults in three-phase induction motors are due to broken rotor bars and end-ring defects. Nowadays, inductions motors are more frequently used with inverters which make the diagnosis process more complicated. The approach used in this paper, for the detection of a broken rotor bar in induction motor powered by a Voltage fed inverter, is based on the analysis of the Voltage taking place between the stator Neutral and an artificial supply Neutral. A comparison study with the well known Motor Current Signature Analysis (MCSA) is underlined. A theoretical analysis is investigated in order to depict all harmonic components related to the rotor defects in both line current and Neutral Voltage. These signatures are drawn by the phase analysis of Hilbert transform applied on the spectrum modulus of the line current and the Neutral Voltage. Experimental and simulation results obtained for two different induction motors confirm the aforementioned study.
Jalal Nazarzadeh - One of the best experts on this subject based on the ideXlab platform.
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A TDF Model in Induction Machines for Loose Bearing Diagnosis by Neutral Voltage
IEEE Transactions on Industrial Electronics, 2020Co-Authors: Mohammad Javad Jafarian, Jalal NazarzadehAbstract:The bearing wear and looseness are significant failures in induction machines. For accurate recognition of the bearing faults, a new comprehensive modeling and analysis of induction machines with three degrees of freedom along with an effective method for loose bearing signature are presented in this article. For these purposes, the electromagnetic radial force and rotating torques are determined and applied to Euler–Lagrange equations of an induction machine. Besides, to better identify the defective loose bearings, the spectral analysis of Neutral Voltage is utilized. Comparing the experimental results with the outcome of the numerical analysis validates the proposed model. The results show that the spectral analysis of the Neutral Voltage detects mechanical looseness with higher precision than the conventional techniques such as mechanical vibrations and stator currents.
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Employing Neutral-Voltage spectrum for internal turn-to-turn fault detection in the induction machine drives.
ISA transactions, 2018Co-Authors: Mohammad Javad Jafarian, Jalal NazarzadehAbstract:Abstract This paper introduces a diagnostic method for a Stator Internal Turn-to-Turn Fault (ITTF) in induction machine drives. Conventional Winding Function (WF) and Finite Element Method (FEM) are employed for modelling induction machines with the ITTF. The effects of machine slots, winding distributed types and different air-gap functions on machine inductance spectra are investigated. In the end, based on the theoretical and experimental analysis, the spectrum of the Neutral-Voltage is shown to be a proper approach for a hidden ITTF signature in Pulse Width Modulation (PWM) drives.
M. Boucherma - One of the best experts on this subject based on the ideXlab platform.
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Static air-gap eccentricity fault diagnosis using rotor slot harmonics in line Neutral Voltage of three-phase squirrel cage induction motor
Mechanical Systems and Signal Processing, 2017Co-Authors: M. El Kamel Oumaamar, M. Boucherma, Yassine Maouche, A. KhezzarAbstract:Abstract The mixed eccentricity fault detection in a squirrel cage induction motor has been thoroughly investigated. However, a few papers have been related to pure static eccentricity fault and the authors focused on the RSH harmonics presented in stator current. The main objective of this paper is to present an alternative method based on the analysis of line Neutral Voltage taking place between the supply and the stator Neutrals in order to detect air-gap static eccentricity, and to highlight the classification of all RSH harmonics in line Neutral Voltage. The model of squirrel cage induction machine relies on the rotor geometry and winding layout. Such developed model is used to analyze the impact of the pure static air-gap eccentricity by predicting the related frequencies in the line Neutral Voltage spectrum. The results show that the line Neutral Voltage spectrum are more sensitive to the air-gap static eccentricity fault compared to stator current one. The theoretical analysis and simulated results are confirmed by experiments.
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Modeling and simulation of stator turn faults. Detection based on stator circular current and Neutral Voltage
2013 9th IEEE International Symposium on Diagnostics for Electric Machines Power Electronics and Drives (SDEMPED), 2013Co-Authors: Yassine Maouche, M. Boucherma, Abdelfettah Boussaid, A. KhezzarAbstract:Most existing electrical faults in induction machines are stator turn faults; therefore the modeling of this defect appears very interesting. A number of authors have treated the modeling of this defect by completely changing the model from healthy to a defective one. This paper deals with the modeling of induction machines considering both healthy and faulty stator cases. The aim of this work is to make the electrical matrix parameters as a function of stator winding distribution. The consequence of both, fault degree and fault location are also considered. Stator faults detection are based on frequency analysis of the zero sequence for delta connected winding and on Neutral Voltage for wye connected winding. The simulation results show that the significant increase or decrease of certain harmonics can be used to detect short circuited turns in the machine stator.
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Induction Motor Diagnosis Using Line Neutral Voltage Signatures
IEEE Transactions on Industrial Electronics, 2009Co-Authors: A. Khezzar, M. El Kamel Oumaamar, M. Hadjami, M. Boucherma, Hubert RazikAbstract:This paper presents an analytical approach to shed light on the necessary relationships required for the presence of induction motor diagnosis signatures in the line Neutral Voltage (the Voltage taking place between the supply and the stator Neutrals). Special attention is focused on the effect of both space distribution of rotor bars and rotor dissymmetry on the mechanism of generation of diagnosis signatures with consideration of Voltage supply unbalance and speed ripples. Generalized and new formulas are proposed, where we can draw a conclusion on the state of the machine. Simulation and experimental results have shown excellent match with theoretically predicted harmonic components.
Xinda Song - One of the best experts on this subject based on the ideXlab platform.
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Sensorless BLDC Motor Commutation Point Detection and Phase Deviation Correction Method
IEEE Transactions on Power Electronics, 2019Co-Authors: Xinxiu Zhou, Yongping Zhou, Cong Peng, Fanquan Zeng, Xinda SongAbstract:Phase-to-Neutral Voltage or Neutral-to-virtual Neutral Voltage zero-crossing points (ZCPs) detection method is usually used for sensorless brushless dc motor commutation control. Unfortunately, neither of them can be realized in lower speed range. In this paper, a simple commutation point detection method is proposed based on detecting inactive phase terminal to dc-link midpoint Voltage. It eliminates the requirement of Neutral wire or virtual Neutral Voltage and provides an amplified version of back electromotive force at the ZCPs which makes the lower speed range detection possible. As the speed increases, commutation point error is enlarged due to the low-pass filter. Utilizing the symmetry of the terminal to midpoint Voltage, the phase error can be corrected. However, due to the nonlinear relationship between the detected Voltage difference and phase error, it is difficult to regulate the error fast and robustly. Therefore, a novel phase regulator based on fuzzy neural network is proposed in this paper with simple structure and learning ability. The validity of the proposed ZCPs detection method and commutation instant shift correction method are verified through experimental results.
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sensorless drive for high speed brushless dc motor based on the virtual Neutral Voltage
IEEE Transactions on Power Electronics, 2015Co-Authors: Chenjun Cui, Gang Liu, Kun Wang, Xinda SongAbstract:The brushless dc (BLDC) motor can be driven by either pulse-width modulation (PWM) or pulse-amplitude modulation (PAM) techniques. Unfortunately, neither of them can be the most suitable method for the high-speed BLDC motor in the wide speed range, so a hybrid drive method combining PWM and PAM is first introduced. Then, this paper proposes a new sensorless control method based on the virtual Neutral Voltage for high-speed BLDC motor to suit for this hybrid drive method. In order to obtain the commutation signals from this seriously unclear Voltage signal due to the commutation notches and electromagnetic interference, a low-pass filter with super low cutoff frequency is employed at the price of a large phase delay. Meanwhile, a novel sensorless control method based on the transition between “90–α” and “150–α” is introduced to handle the severe phase delay. At last, the feasibility and effectiveness of the proposed drive method and the sensorless control method are verified by several experiment results.
M. El Kamel Oumaamar - One of the best experts on this subject based on the ideXlab platform.
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Static air-gap eccentricity fault diagnosis using rotor slot harmonics in line Neutral Voltage of three-phase squirrel cage induction motor
Mechanical Systems and Signal Processing, 2017Co-Authors: M. El Kamel Oumaamar, M. Boucherma, Yassine Maouche, A. KhezzarAbstract:Abstract The mixed eccentricity fault detection in a squirrel cage induction motor has been thoroughly investigated. However, a few papers have been related to pure static eccentricity fault and the authors focused on the RSH harmonics presented in stator current. The main objective of this paper is to present an alternative method based on the analysis of line Neutral Voltage taking place between the supply and the stator Neutrals in order to detect air-gap static eccentricity, and to highlight the classification of all RSH harmonics in line Neutral Voltage. The model of squirrel cage induction machine relies on the rotor geometry and winding layout. Such developed model is used to analyze the impact of the pure static air-gap eccentricity by predicting the related frequencies in the line Neutral Voltage spectrum. The results show that the line Neutral Voltage spectrum are more sensitive to the air-gap static eccentricity fault compared to stator current one. The theoretical analysis and simulated results are confirmed by experiments.
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Induction Motor Diagnosis Using Line Neutral Voltage Signatures
IEEE Transactions on Industrial Electronics, 2009Co-Authors: A. Khezzar, M. El Kamel Oumaamar, M. Hadjami, M. Boucherma, Hubert RazikAbstract:This paper presents an analytical approach to shed light on the necessary relationships required for the presence of induction motor diagnosis signatures in the line Neutral Voltage (the Voltage taking place between the supply and the stator Neutrals). Special attention is focused on the effect of both space distribution of rotor bars and rotor dissymmetry on the mechanism of generation of diagnosis signatures with consideration of Voltage supply unbalance and speed ripples. Generalized and new formulas are proposed, where we can draw a conclusion on the state of the machine. Simulation and experimental results have shown excellent match with theoretically predicted harmonic components.
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Neutral Voltage Analysis for Broken Rotor Bars Detection in Induction Motors Using Hilbert Transform Phase
2007Co-Authors: M. El Kamel Oumaamar, A. Khezzar, Hubert Razik, M. Boucherna, Rijaniaina Njakasoa Andriamalala, Lotfi BaghliAbstract:Most of rotor related faults in three-phase induction motors are due to broken rotor bars and end-ring defects. Nowadays, inductions motors are more frequently used with inverters which make the diagnosis process more complicated. The approach used in this paper, for the detection of a broken rotor bar in induction motor powered by a Voltage fed inverter, is based on the analysis of the Voltage taking place between the stator Neutral and an artificial supply Neutral. A comparison study with the well known Motor Current Signature Analysis (MCSA) is underlined. A theoretical analysis is investigated in order to depict all harmonic components related to the rotor defects in both line current and Neutral Voltage. These signatures are drawn by the phase analysis of Hilbert transform applied on the spectrum modulus of the line current and the Neutral Voltage. Experimental and simulation results obtained for two different induction motors confirm the aforementioned study.