Rémus Pusca - Academia.edu (original) (raw)

Papers by Rémus Pusca

Research paper thumbnail of Hardware Implementation of Modified Backstepping Control for Sensorless Induction Motor Drive

This paper presents a hardware implementation of sensorless Backstepping control for induction mo... more This paper presents a hardware implementation of sensorless Backstepping control for induction motor drive. The presented Backstepping control scheme has been designed in the stationary reference frame to reduce the control algorithm complexity. Furthermore, a full order Luenberger observer has been proposed for speed and torque estimation. Several operation conditions of the IM have been conducted such as load application, speed direction reversal and low-speed condition. In addition, an industrial benchmark test which comprises all speed condition has been done to check the control ability in different operation points. This work presents for the first time the experimental implementation of this developed control algorithm. The obtained experimental results prove the effectiveness and performance of the proposed control scheme.

Research paper thumbnail of Advances in diagnosis of electrical machines through external magnetic field

Promising parameter in the analysis and diagnosis of electrical machines is the external magnetic... more Promising parameter in the analysis and diagnosis of electrical machines is the external magnetic field that can be measured in the vicinity of the machine. This variable provides an image of the internal magnetic state of the machine and it is sensitive to very small imbalances in the machine. Therefore, information about the presence of an anomaly can be found in the analysis of this field. The magnetic field is measured close to the machine by specific wound flux sensor and is analyzed considering the evolution of its spectral content in presence of stator or rotor electrical faults. The paper gives an overview of measurement methods, fault signatures, and analysis tendency in the diagnosis of rotating electrical machines using the measurement of the external magnetic field.

Research paper thumbnail of State of the Art on Stray Flux Analysis in Faulted Electrical Machines

The aim of this paper is to present an overview of the stray flux analysis to detect faults in el... more The aim of this paper is to present an overview of the stray flux analysis to detect faults in electrical machines. The investigation is dedicated to AC electrical machines in particular induction and synchronous machines which are the most used motors and generators in industry. The stray flux is sensed outside the machine case with simple non-invasive sensors. It can be used to detect broken bars, rings and dampers in AC electrical machines. It can also detect early stage short-circuits in both stator and rotor windings. A large range of mechanical faults can be detected by analyzing the stray flux. Finally, any kind of unbalance whatever the location can be detected by stray flux sensors.

Research paper thumbnail of Dispersion field analysis using discrete wavelet transform for inter-turn stator fault detection in induction motors

This paper presents an inter-turn short circuit detection through the measurement of external mag... more This paper presents an inter-turn short circuit detection through the measurement of external magnetic field of induction motor. The technique of analysis is based on discrete wavelet transform energy in transient state where the machine operates at start-up and standstill states. The wavelet offers a very fine analysis of the unidimensional and two-dimensional signals. Through multilevel discrete wavelet decomposition, it is possible to extract the information for the prognosis of the fault in variable state of the machine. The stored energy calculation in each decomposition can evaluate the severity of the fault compared with the analysis of only the external magnetic field.

Research paper thumbnail of Unknown Input Observer-Based Fault Diagnosis in Induction Machine: Theory and Experiment

Electric Power Components and Systems, Jul 21, 2018

Research paper thumbnail of High order sliding mode observer‐based backstepping fault‐tolerant control for induction motor

Asian Journal of Control, 2019

Research paper thumbnail of Experimental Investigation of Passive Fault Tolerant Control for Induction Machine Using Sliding Mode Approach

Asian Journal of Control, Jan 19, 2018

Research paper thumbnail of Recent Trends in Magnetic Sensors and Flux-Based Condition Monitoring of Electromagnetic Devices

IEEE Transactions on Industry Applications, Jul 1, 2022

Research paper thumbnail of A New Bearing Fault Detection Strategy Based on Combined Modes Ensemble Empirical Mode Decomposition, KMAD, and an Enhanced Deconvolution Process

Energies

In bearing fault diagnosis, ensemble empirical mode decomposition (EEMD) is a reliable technique ... more In bearing fault diagnosis, ensemble empirical mode decomposition (EEMD) is a reliable technique for treating rolling bearing vibration signals by dividing them into intrinsic mode functions (IMFs). Traditional methods used in EEMD consist of identifying IMFs containing the fault information and reconstructing them. However, an incorrect selection can result in the loss of useful IMFs or the addition of unnecessary ones. To overcome this drawback, this paper presents a novel method called combined modes ensemble empirical mode decomposition (CMEEMD) to directly obtain a combination of useful IMFs containing fault information. This is without needing to pass through the processes of IMF selection and reconstruction, as well as guaranteeing that no defect information is lost. Owing to the small signal-to-noise ratio, this makes it difficult to determine the fault information of a rolling bearing at the early stage. Therefore, improving noise reduction is an essential procedure for det...

Research paper thumbnail of Comparative Study between Two Diagnostic Techniques Dedicated to the Mechanical Fault Detection in Induction Motors

2020 International Conference on Electrical Engineering (ICEE)

Among the main causes which have a great influence on the service life of rotating electrical mac... more Among the main causes which have a great influence on the service life of rotating electrical machines are mechanical faults. The squirrel cage induction motors are one of the most important induction motors in industrial and modern industrial applications. The reasons are the low cost, robustness, and low maintenance. In general fault causes unwanted vibrations in rotating machines and the rolling element bearing faults affect the induction machines with a significant percentage. It is a major problem among different faults because it can cause catastrophic damage. Early and accurate detection of rolling element bearing faults are essential for both effective fault management and fault isolation. This paper presents a detailed study of rolling element bearing faults in squirrel cage induction motors using two recent diagnostic techniques. The first technique uses the stator current signal based on the fast Fourier transform. According to this technique, it is carefully checked the spectral content of the stator current. The second technique uses the stray flux signature analysis. Experimental tests for different conditions as low load, full load operation, healthy and faulty states of the induction motors have been performed. So, a detailed comparison between the two techniques led us to achieve a judicious decision about the rolling element bearing faults detection.

Research paper thumbnail of A comparative study dedicated to rotor failure detection in induction motors using MCSA, DWT, and EMD techniques

2020 International Conference on Electrical Engineering (ICEE), 2020

This paper presents the detailed detection of broken rotor bar faults in squirrel cage induction ... more This paper presents the detailed detection of broken rotor bar faults in squirrel cage induction motors (SCIMs). This study used three diagnostic techniques. Early faults detection allows us to avoid catastrophic damage. In this work, we have exploited the stator current signal by three recent methods. The first technique uses the fast Fourier transform (FFT) which is often called motor current signature analysis (MCSA or MCSA-FFT). According to this technique, we carefully checked the spectral content of the stator current. In addition, we have clearly noticed to new harmonics that indicate the broken rotor bar (BRB) faults exists. The second technique is based on the discrete wavelet transform (DWT); this technique is widely used in the diagnosis field of rotating machinery. In order to detect the BRB faults in SCIMs, we have exploited this method by three important indicators. One of them is based on the mean square error (MSE) of each detail coefficient. In this study, we applied a new indicator (MSE) for the BRB fault detection based on DWT. The last method is empirical mode decomposition (EMD) to perform the current signature analysis in order to decompose the motor current signal into intrinsic mode functions (IMFs). It is currently competing with several methods such as: MCSA, DWT, etc. So, it is possible to detect BRBs through the evaluation of the different IMF levels for both conditions, healthy and faulty state of SCIM. An experimental test for different conditions: at no load or at load operation, healthy or faulty state of the induction motor has been performed. So, experimental results using three methods showed a detailed comparison between them in order to achieve a judicious decision on the broken rotor bars detection. Finally, we have confirmed the proposals ideas in this subject in order to detect the broken rotor bar faults.

Research paper thumbnail of A Comparative Study between the adaptive wavelet transform and DWT Methods Applied to a Outer Raceway Fault Detection in Induction Motors based on the Frequencies Analysis

2020 International Conference on Electrical Engineering (ICEE), 2020

This paper presents a new application to diagnose the outer race fault in induction machines base... more This paper presents a new application to diagnose the outer race fault in induction machines based on the three-step nonlinear lifting scheme. The wavelet transform is a powerful and complex tool in the context of diagnosis. The discovery of the lifting schemes structure make a wavelet filters simple, rapid and reversible. This method (lifting) is generally used by researchers in the field of image processing. However we are going in this study to use in order to see its effectiveness in the field of diagnosis in electrical machine in induction motors. In addition, we will exploit the experimental results. This study analyzes the stator current of an asynchronous motor for two conditions: the first is a data acquisition of a healthy machine. The second is a defective machine of an outer race fault and inner race fault. The objective of this work focuses particularly on the frequency analysis of the signal indicators of defects. Moreover, it remains necessary to develop filters for t...

Research paper thumbnail of Active control of torque ripple in a faulty surface permanent magnet synchronous motor. Case of stator inter-turn short circuit

2016 International Conference on Electrical Sciences and Technologies in Maghreb (CISTEM), 2016

This paper presents a modeling of a surface permanent magnet synchronous motor in healthy and fau... more This paper presents a modeling of a surface permanent magnet synchronous motor in healthy and faulty cases and a control approach aiming at reducing the torque ripple which appears in faulty case. The fault considered in this work is a stator inter-turn short circuit. The model proposed in this paper is based on the dynamic equations of the motor. Simulation results show the possibility to reduce the torque ripple by according the motor supply control in concordance of incipient faults or motor asymmetry.

Research paper thumbnail of Torque ripple reduction in a surface permanent magnet synchronous machine with stator inter-turn short circuit

European Journal of Electrical Engineering, 2016

Research paper thumbnail of Torque ripple control in faulty surface permanent magnet synchronous motor

2016 International Conference on Applied and Theoretical Electricity (ICATE), 2016

This paper presents a torque ripple control approach which can be applied to a surface permanent ... more This paper presents a torque ripple control approach which can be applied to a surface permanent magnet synchronous motor in a faulty case. The fault considered is an asymmetry created by unbalance number of turns in the three phases of the motor stator winding. Proposed control strategy provides the current reference in order to decrease the motor torque ripple. This torque control has been implemented using a model of surface permanent magnet synchronous motor based on the dynamic motor equations. Simulation results show the possibility to improve the motor torque in faulty case by changing a balanced sinusoidal current reference by unbalanced one.

Research paper thumbnail of Minimization of torque ripple caused by a stator winding dissymmetry in a surface permanent magnet synchronous machine

2014 International Conference on Electrical Machines (ICEM), 2014

This paper presents a method for generating stator currents supplying a surface permanent magnets... more This paper presents a method for generating stator currents supplying a surface permanent magnets synchronous motor with lack of turns in one of its winding. The currents are calculated in order to minimize the torque ripple generated by the dissymmetry. The analytical model used is based on the role of the space harmonics of the stator and rotor flux density on generation of torque harmonics. This model will be used for the analytical study of the machine and to validate the minimization approach.

Research paper thumbnail of DWT for rotor bars fault detection applied to backstepping control induction motor drive in low-speed

This paper presents a rotor bars fault diagnosis in low-speed for the induction motor drive. The ... more This paper presents a rotor bars fault diagnosis in low-speed for the induction motor drive. The backstepping algorithm is employed to preserve a good control performance and to avoid different uncertainties in order to have good signals acquisition for the diagnosis process. The used technique for the fault detection is the discrete wavelet transforms which applied to analyze the stator phase current and the output signal of the speed regulator. Furthermore, the calculation of the energy stored in each decomposition can evaluate the effect of the fault. The controls of the induction motor and their diagnosis have been investigated experimentally using Matlab/Simulink environment with Real-Time interface based on the dSpace 1104.

Research paper thumbnail of Modeling of an isolated induction generator considering saturation effect

Archives of Electrical Engineering, Jul 26, 2023

Research paper thumbnail of Detailed Analysis of Rotor Eccentricity Fault Signatures in Induction Motors using DWT-FFT Technique

2022 19th International Multi-Conference on Systems, Signals & Devices (SSD), May 6, 2022

Research paper thumbnail of Rolling Bearing Failure Detection in Induction Motors using Stator Current, Vibration and Stray Flux Analysis Techniques

IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society, 2020

Many industrial applications use the induction machine for its advantages, like robustness. But l... more Many industrial applications use the induction machine for its advantages, like robustness. But like any other machines, it can be affected by several faults such as broken rotor bars, stator inter-turn short-circuit, bearing faults, etc. On the one hand, mechanical faults produce vibration, eccentricity and torque oscillations which influence the stator current and the distribution of the magnetic field. Therefore, early detection of mechanical faults leads to avoid damage or sudden stop of the induction machine. In this context, this paper studies the performances of three fault detection and diagnostic techniques for rolling bearing failures. The first technique is based on the stator current analysis, the second one uses the vibration signal analysis and the last technique is devoted to the stray flux signature.The aim of the study is to highlight the performances of stray- flux technique in the detection of inner raceway fault comparatively to current and vibration. For this study, experimental tests are realized on a laboratory test bench allowing creation of artificial bearing damage. The analysis is focused on specific harmonics related to the electrical and mechanical frequencies.

Research paper thumbnail of Hardware Implementation of Modified Backstepping Control for Sensorless Induction Motor Drive

This paper presents a hardware implementation of sensorless Backstepping control for induction mo... more This paper presents a hardware implementation of sensorless Backstepping control for induction motor drive. The presented Backstepping control scheme has been designed in the stationary reference frame to reduce the control algorithm complexity. Furthermore, a full order Luenberger observer has been proposed for speed and torque estimation. Several operation conditions of the IM have been conducted such as load application, speed direction reversal and low-speed condition. In addition, an industrial benchmark test which comprises all speed condition has been done to check the control ability in different operation points. This work presents for the first time the experimental implementation of this developed control algorithm. The obtained experimental results prove the effectiveness and performance of the proposed control scheme.

Research paper thumbnail of Advances in diagnosis of electrical machines through external magnetic field

Promising parameter in the analysis and diagnosis of electrical machines is the external magnetic... more Promising parameter in the analysis and diagnosis of electrical machines is the external magnetic field that can be measured in the vicinity of the machine. This variable provides an image of the internal magnetic state of the machine and it is sensitive to very small imbalances in the machine. Therefore, information about the presence of an anomaly can be found in the analysis of this field. The magnetic field is measured close to the machine by specific wound flux sensor and is analyzed considering the evolution of its spectral content in presence of stator or rotor electrical faults. The paper gives an overview of measurement methods, fault signatures, and analysis tendency in the diagnosis of rotating electrical machines using the measurement of the external magnetic field.

Research paper thumbnail of State of the Art on Stray Flux Analysis in Faulted Electrical Machines

The aim of this paper is to present an overview of the stray flux analysis to detect faults in el... more The aim of this paper is to present an overview of the stray flux analysis to detect faults in electrical machines. The investigation is dedicated to AC electrical machines in particular induction and synchronous machines which are the most used motors and generators in industry. The stray flux is sensed outside the machine case with simple non-invasive sensors. It can be used to detect broken bars, rings and dampers in AC electrical machines. It can also detect early stage short-circuits in both stator and rotor windings. A large range of mechanical faults can be detected by analyzing the stray flux. Finally, any kind of unbalance whatever the location can be detected by stray flux sensors.

Research paper thumbnail of Dispersion field analysis using discrete wavelet transform for inter-turn stator fault detection in induction motors

This paper presents an inter-turn short circuit detection through the measurement of external mag... more This paper presents an inter-turn short circuit detection through the measurement of external magnetic field of induction motor. The technique of analysis is based on discrete wavelet transform energy in transient state where the machine operates at start-up and standstill states. The wavelet offers a very fine analysis of the unidimensional and two-dimensional signals. Through multilevel discrete wavelet decomposition, it is possible to extract the information for the prognosis of the fault in variable state of the machine. The stored energy calculation in each decomposition can evaluate the severity of the fault compared with the analysis of only the external magnetic field.

Research paper thumbnail of Unknown Input Observer-Based Fault Diagnosis in Induction Machine: Theory and Experiment

Electric Power Components and Systems, Jul 21, 2018

Research paper thumbnail of High order sliding mode observer‐based backstepping fault‐tolerant control for induction motor

Asian Journal of Control, 2019

Research paper thumbnail of Experimental Investigation of Passive Fault Tolerant Control for Induction Machine Using Sliding Mode Approach

Asian Journal of Control, Jan 19, 2018

Research paper thumbnail of Recent Trends in Magnetic Sensors and Flux-Based Condition Monitoring of Electromagnetic Devices

IEEE Transactions on Industry Applications, Jul 1, 2022

Research paper thumbnail of A New Bearing Fault Detection Strategy Based on Combined Modes Ensemble Empirical Mode Decomposition, KMAD, and an Enhanced Deconvolution Process

Energies

In bearing fault diagnosis, ensemble empirical mode decomposition (EEMD) is a reliable technique ... more In bearing fault diagnosis, ensemble empirical mode decomposition (EEMD) is a reliable technique for treating rolling bearing vibration signals by dividing them into intrinsic mode functions (IMFs). Traditional methods used in EEMD consist of identifying IMFs containing the fault information and reconstructing them. However, an incorrect selection can result in the loss of useful IMFs or the addition of unnecessary ones. To overcome this drawback, this paper presents a novel method called combined modes ensemble empirical mode decomposition (CMEEMD) to directly obtain a combination of useful IMFs containing fault information. This is without needing to pass through the processes of IMF selection and reconstruction, as well as guaranteeing that no defect information is lost. Owing to the small signal-to-noise ratio, this makes it difficult to determine the fault information of a rolling bearing at the early stage. Therefore, improving noise reduction is an essential procedure for det...

Research paper thumbnail of Comparative Study between Two Diagnostic Techniques Dedicated to the Mechanical Fault Detection in Induction Motors

2020 International Conference on Electrical Engineering (ICEE)

Among the main causes which have a great influence on the service life of rotating electrical mac... more Among the main causes which have a great influence on the service life of rotating electrical machines are mechanical faults. The squirrel cage induction motors are one of the most important induction motors in industrial and modern industrial applications. The reasons are the low cost, robustness, and low maintenance. In general fault causes unwanted vibrations in rotating machines and the rolling element bearing faults affect the induction machines with a significant percentage. It is a major problem among different faults because it can cause catastrophic damage. Early and accurate detection of rolling element bearing faults are essential for both effective fault management and fault isolation. This paper presents a detailed study of rolling element bearing faults in squirrel cage induction motors using two recent diagnostic techniques. The first technique uses the stator current signal based on the fast Fourier transform. According to this technique, it is carefully checked the spectral content of the stator current. The second technique uses the stray flux signature analysis. Experimental tests for different conditions as low load, full load operation, healthy and faulty states of the induction motors have been performed. So, a detailed comparison between the two techniques led us to achieve a judicious decision about the rolling element bearing faults detection.

Research paper thumbnail of A comparative study dedicated to rotor failure detection in induction motors using MCSA, DWT, and EMD techniques

2020 International Conference on Electrical Engineering (ICEE), 2020

This paper presents the detailed detection of broken rotor bar faults in squirrel cage induction ... more This paper presents the detailed detection of broken rotor bar faults in squirrel cage induction motors (SCIMs). This study used three diagnostic techniques. Early faults detection allows us to avoid catastrophic damage. In this work, we have exploited the stator current signal by three recent methods. The first technique uses the fast Fourier transform (FFT) which is often called motor current signature analysis (MCSA or MCSA-FFT). According to this technique, we carefully checked the spectral content of the stator current. In addition, we have clearly noticed to new harmonics that indicate the broken rotor bar (BRB) faults exists. The second technique is based on the discrete wavelet transform (DWT); this technique is widely used in the diagnosis field of rotating machinery. In order to detect the BRB faults in SCIMs, we have exploited this method by three important indicators. One of them is based on the mean square error (MSE) of each detail coefficient. In this study, we applied a new indicator (MSE) for the BRB fault detection based on DWT. The last method is empirical mode decomposition (EMD) to perform the current signature analysis in order to decompose the motor current signal into intrinsic mode functions (IMFs). It is currently competing with several methods such as: MCSA, DWT, etc. So, it is possible to detect BRBs through the evaluation of the different IMF levels for both conditions, healthy and faulty state of SCIM. An experimental test for different conditions: at no load or at load operation, healthy or faulty state of the induction motor has been performed. So, experimental results using three methods showed a detailed comparison between them in order to achieve a judicious decision on the broken rotor bars detection. Finally, we have confirmed the proposals ideas in this subject in order to detect the broken rotor bar faults.

Research paper thumbnail of A Comparative Study between the adaptive wavelet transform and DWT Methods Applied to a Outer Raceway Fault Detection in Induction Motors based on the Frequencies Analysis

2020 International Conference on Electrical Engineering (ICEE), 2020

This paper presents a new application to diagnose the outer race fault in induction machines base... more This paper presents a new application to diagnose the outer race fault in induction machines based on the three-step nonlinear lifting scheme. The wavelet transform is a powerful and complex tool in the context of diagnosis. The discovery of the lifting schemes structure make a wavelet filters simple, rapid and reversible. This method (lifting) is generally used by researchers in the field of image processing. However we are going in this study to use in order to see its effectiveness in the field of diagnosis in electrical machine in induction motors. In addition, we will exploit the experimental results. This study analyzes the stator current of an asynchronous motor for two conditions: the first is a data acquisition of a healthy machine. The second is a defective machine of an outer race fault and inner race fault. The objective of this work focuses particularly on the frequency analysis of the signal indicators of defects. Moreover, it remains necessary to develop filters for t...

Research paper thumbnail of Active control of torque ripple in a faulty surface permanent magnet synchronous motor. Case of stator inter-turn short circuit

2016 International Conference on Electrical Sciences and Technologies in Maghreb (CISTEM), 2016

This paper presents a modeling of a surface permanent magnet synchronous motor in healthy and fau... more This paper presents a modeling of a surface permanent magnet synchronous motor in healthy and faulty cases and a control approach aiming at reducing the torque ripple which appears in faulty case. The fault considered in this work is a stator inter-turn short circuit. The model proposed in this paper is based on the dynamic equations of the motor. Simulation results show the possibility to reduce the torque ripple by according the motor supply control in concordance of incipient faults or motor asymmetry.

Research paper thumbnail of Torque ripple reduction in a surface permanent magnet synchronous machine with stator inter-turn short circuit

European Journal of Electrical Engineering, 2016

Research paper thumbnail of Torque ripple control in faulty surface permanent magnet synchronous motor

2016 International Conference on Applied and Theoretical Electricity (ICATE), 2016

This paper presents a torque ripple control approach which can be applied to a surface permanent ... more This paper presents a torque ripple control approach which can be applied to a surface permanent magnet synchronous motor in a faulty case. The fault considered is an asymmetry created by unbalance number of turns in the three phases of the motor stator winding. Proposed control strategy provides the current reference in order to decrease the motor torque ripple. This torque control has been implemented using a model of surface permanent magnet synchronous motor based on the dynamic motor equations. Simulation results show the possibility to improve the motor torque in faulty case by changing a balanced sinusoidal current reference by unbalanced one.

Research paper thumbnail of Minimization of torque ripple caused by a stator winding dissymmetry in a surface permanent magnet synchronous machine

2014 International Conference on Electrical Machines (ICEM), 2014

This paper presents a method for generating stator currents supplying a surface permanent magnets... more This paper presents a method for generating stator currents supplying a surface permanent magnets synchronous motor with lack of turns in one of its winding. The currents are calculated in order to minimize the torque ripple generated by the dissymmetry. The analytical model used is based on the role of the space harmonics of the stator and rotor flux density on generation of torque harmonics. This model will be used for the analytical study of the machine and to validate the minimization approach.

Research paper thumbnail of DWT for rotor bars fault detection applied to backstepping control induction motor drive in low-speed

This paper presents a rotor bars fault diagnosis in low-speed for the induction motor drive. The ... more This paper presents a rotor bars fault diagnosis in low-speed for the induction motor drive. The backstepping algorithm is employed to preserve a good control performance and to avoid different uncertainties in order to have good signals acquisition for the diagnosis process. The used technique for the fault detection is the discrete wavelet transforms which applied to analyze the stator phase current and the output signal of the speed regulator. Furthermore, the calculation of the energy stored in each decomposition can evaluate the effect of the fault. The controls of the induction motor and their diagnosis have been investigated experimentally using Matlab/Simulink environment with Real-Time interface based on the dSpace 1104.

Research paper thumbnail of Modeling of an isolated induction generator considering saturation effect

Archives of Electrical Engineering, Jul 26, 2023

Research paper thumbnail of Detailed Analysis of Rotor Eccentricity Fault Signatures in Induction Motors using DWT-FFT Technique

2022 19th International Multi-Conference on Systems, Signals & Devices (SSD), May 6, 2022

Research paper thumbnail of Rolling Bearing Failure Detection in Induction Motors using Stator Current, Vibration and Stray Flux Analysis Techniques

IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society, 2020

Many industrial applications use the induction machine for its advantages, like robustness. But l... more Many industrial applications use the induction machine for its advantages, like robustness. But like any other machines, it can be affected by several faults such as broken rotor bars, stator inter-turn short-circuit, bearing faults, etc. On the one hand, mechanical faults produce vibration, eccentricity and torque oscillations which influence the stator current and the distribution of the magnetic field. Therefore, early detection of mechanical faults leads to avoid damage or sudden stop of the induction machine. In this context, this paper studies the performances of three fault detection and diagnostic techniques for rolling bearing failures. The first technique is based on the stator current analysis, the second one uses the vibration signal analysis and the last technique is devoted to the stray flux signature.The aim of the study is to highlight the performances of stray- flux technique in the detection of inner raceway fault comparatively to current and vibration. For this study, experimental tests are realized on a laboratory test bench allowing creation of artificial bearing damage. The analysis is focused on specific harmonics related to the electrical and mechanical frequencies.