Search Results - "Choqueuse, Vincent"

Induction machine faults detection using stator current parametric spectral estimation by El Bouchikhi, El Houssin, Choqueuse, Vincent, Benbouzid, Mohamed

“…Current spectrum analysis is a proven technique for fault diagnosis in electrical machines. Current spectral estimation is usually performed using classical…”
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An Efficient Hilbert–Huang Transform-Based Bearing Faults Detection in Induction Machines by Elbouchikhi, Elhoussin, Choqueuse, Vincent, Amirat, Yassine, El Hachemi Benbouzid, Mohamed, Turri, Sylvie

“…This paper focuses on rolling elements bearing fault detection in induction machines based on stator currents analysis. Specifically, it proposes to process…”
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Induction Machines Fault Detection Based on Subspace Spectral Estimation by Trachi, Youness, Elbouchikhi, Elhoussin, Choqueuse, Vincent, El Hachemi Benbouzid, Mohamed

“…The main objective of this paper is to detect faults in induction machines using a condition monitoring architecture based on stator current measurements. Two…”
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Frequency and Phasor Estimations in Three-Phase Systems: Maximum Likelihood Algorithms and Theoretical Performance by Choqueuse, Vincent, Belouchrani, Adel, Auger, Francois, Benbouzid, Mohamed

“…In this paper, the problem of frequency and phasor estimation in three-phase systems is considered. Three-phase electrical signals are composed of three…”
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Current Frequency Spectral Subtraction and Its Contribution to Induction Machines' Bearings Condition Monitoring by Bouchikhi, E. H. E., Choqueuse, V., Benbouzid, M. E. H.

“…Induction machines are widely used in industrial applications. Safety, reliability, efficiency, and performance are major concerns that direct the research…”
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Motor Current Signal Analysis Based on a Matched Subspace Detector by Elbouchikhi, Elhoussin, Choqueuse, Vincent, Auger, Francois, El Hachemi Benbouzid, Mohamed

“…Motor current signature analysis (MCSA) is a well-proven technique for electrical and mechanical faults detection in induction motors. The appearance of stator…”
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Diagnosis of Three-Phase Electrical Machines Using Multidimensional Demodulation Techniques by Choqueuse, V., Benbouzid, M. E. H., Amirat, Y., Turri, S.

“…This paper deals with the diagnosis of three-phase electrical machines and focuses on failures that lead to stator-current modulation. To detect a failure, we…”
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Induction machine bearing faults detection based on a multi-dimensional MUSIC algorithm and maximum likelihood estimation by Elbouchikhi, Elhoussin, Choqueuse, Vincent, Benbouzid, Mohamed

“…Condition monitoring of electric drives is of paramount importance since it contributes to enhance the system reliability and availability. Moreover, the…”
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Disturbances Classification Based on a Model Order Selection Method for Power Quality Monitoring by Oubrahim, Zakarya, Choqueuse, Vincent, Amirat, Yassine, El Hachemi Benbouzid, Mohamed

“…In this paper, a new technique for power quality disturbance classification is proposed. It focuses on voltage sags and swells that are first preclassified…”
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Maximum-Likelihood Frequency and Phasor Estimations for Electric Power Grid Monitoring by Oubrahim, Zakarya, Choqueuse, Vincent, Amirat, Yassine, El Hachemi Benbouzid, Mohamed

“…In this paper, new frequency and phasor estimators are presented. These estimators are based on the maximum-likelihood technique and exploit the…”
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Blind Recognition of Linear Space-Time Block Codes: A Likelihood-Based Approach by Choqueuse, V., Marazin, M., Collin, L., Yao, K.C., Burel, G.

“…Blind recognition of communication parameters is a research topic of high importance for both military and civilian communication systems. Numerous studies…”
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A Novel Induction Machine Fault Detector Based on Hypothesis Testing by Trachi, Youness, Elbouchikhi, Elhoussin, Choqueuse, Vincent, El Hachemi Benbouzid, Mohamed, Tianzhen Wang

“…This paper investigates a new fault detection method for induction machines diagnosis. The proposed detection method is based on hypothesis testing. The…”
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Estimation of Amplitude, Phase and Unbalance Parameters in Three-phase Systems: Analytical Solutions, Efficient Implementation and Performance Analysis by Choqueuse, Vincent, Belouchrani, Adel, El Bouchikhi, El-Houssin, El Hachemi Benbouzid, Mohamed

“…This paper focuses on the estimation of the instantaneous amplitude, phase, and unbalance parameters in three-phase power systems. Due to the particular…”
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A Parametric Network for the Global Compensation of Physical Layer Linear Impairments in Coherent Optical Communications by Frunza, Alexandru, Choqueuse, Vincent, Morel, Pascal, Azou, Stephane

“…This paper proposes a parametric network for the joint compensation of multiple linear impairments in coherent optical communication systems. The considered…”
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Blind Channel Estimation for STBC Systems Using Higher-Order Statistics by Choqueuse, V, Mansour, A, Burel, G, Collin, L, Yao, Koffi

“…This paper describes a new blind channel estimation algorithm for Space-Time Block Coded (STBC) systems. The proposed method exploits the statistical…”
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Hierarchical Space-Time Block Code Recognition Using Correlation Matrices by Choqueuse, V., Yao, K., Collin, L., Burel, G.

“…The blind recognition of communication parameters is a key research issue for commercial and military communication systems. The results of numerous…”
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Induction machine fault detection enhancement using a stator current high resolution spectrum by El Bouchikhi, El Houssin, Choqueuse, V., Benbouzid, M., Charpentier, J. F.

“…Fault detection in squirrel cage induction machines based on stator current spectrum has been widely investigated. Several high resolution spectral estimation…”
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A parametric spectral estimator for faults detection in induction machines by El Bouchikhi, El Houssin, Choqueuse, Vincent, Benbouzid, M. E. H.

“…Current spectrum analysis is a proven technique for fault diagnosis in electrical machines. Current spectral estimation is usually performed using classical…”
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Non-stationary spectral estimation for wind turbine induction generator faults detection by El Bouchikhi, El Houssin, Choqueuse, Vincent, Benbouzid, M. E. H.

“…Development of large scale offshore wind and marine current turbine farms implies to minimize and predict maintenance operations. In direct- or indirect-drive,…”
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MMSE-Driven Signal Constellation Scatterplot Using Neural Networks-Based Nonlinear Equalizers by Sotomayor, Abraham, Choqueuse, Vincent, Pincemin, Erwan, Morvan, Michel

“…This study investigates a phenomenon observed in signal constellation diagrams when using neural networks (NNs) based nonlinear equalizers optimized with the…”
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