Motor Current Signal Analysis Based on a Matched Subspace Detector - Université de Bretagne Occidentale Access content directly
Journal Articles IEEE Transactions on Instrumentation and Measurement Year : 2017

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.
Fichier principal
Vignette du fichier
TIM-2017-R2.pdf (3.76 Mo) Télécharger le fichier
Origin Files produced by the author(s)
Loading...

Dates and versions

hal-01651982 , version 1 (29-11-2017)

Identifiers

Cite

Elhoussin Elbouchikhi, Vincent V. Choqueuse, François Auger, Mohamed Benbouzid. Motor Current Signal Analysis Based on a Matched Subspace Detector. IEEE Transactions on Instrumentation and Measurement, 2017, 66 (12), pp.3260 - 3270. ⟨10.1109/TIM.2017.2749858⟩. ⟨hal-01651982⟩
221 View
397 Download

Altmetric

Share

Gmail Mastodon Facebook X LinkedIn More