Title

One-class classifiers for detecting faults in induction motors

Document Type

Conference Proceeding

Publication Date

6-12-2017

Publication Title

Canadian Conference on Electrical and Computer Engineering

Keywords

Broken rotor bars, Fault detection, Induction motors, One-class classification

Abstract

This paper deals with the problem of broken rotor bar detection in induction motors. In this technique current signal monitoring of an induction motor is applied to characterize its operation condition, and identify the normal state from broken rotor bar situation. To this aim, a fault detection scheme is proposed, which makes use of a low computational cost pre-processing method along with the six state-of-the-art one-class classifiers. Moreover, a feature selection approach is employed to form a suitable feature subset that is highly correlated with the operating condition of the machine. The achieved experimental results show the effectiveness of the proposed detection technique.

DOI

10.1109/CCECE.2017.7946719

ISSN

08407789

ISBN

9781509055388

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