Motor Current Signal Analysis Based on a Matched Subspace Detector

Abstract : —Motor current signature analysis (MCSA) is a well-proven technique for electrical and mechanical faults detection in induction motors. The appearance of stator current components or increase of magnitude of some components at characteristic frequencies indicates a motor fault condition. In this paper, we propose a new MCSA fault detector based on a matched subspace technique. The proposed detector consists of three steps. First, the influence of the fundamental supply frequency is removed from the current signal using an interference cancellation technique based on oblique projection. Then, the fault-related frequency is estimated from the interference-free signal using the maximum likelihood (ML) principle. Finally, the fault detection is performed using a generalized likelihood ratio test. Simulation and experimental results illustrate the effectiveness of the proposed approach for eccentricity fault, bearing faults and broken rotor bars detection.
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IEEE Transactions on Instrumentation and Measurement, Institute of Electrical and Electronics Engineers, 2017, 66 (12), pp.3260 - 3270. 〈10.1109/TIM.2017.2749858〉
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Dernière modification le : vendredi 1 décembre 2017 - 01:13:44

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Elhoussin Elbouchikhi, Vincent Choqueuse, François Auger, Mohamed Benbouzid. Motor Current Signal Analysis Based on a Matched Subspace Detector. IEEE Transactions on Instrumentation and Measurement, Institute of Electrical and Electronics Engineers, 2017, 66 (12), pp.3260 - 3270. 〈10.1109/TIM.2017.2749858〉. 〈hal-01651982〉

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