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Induction motor diagnosis by advanced notch FIR filters and the wigner-ville distribution

Accepted version
Peer-reviewed

Type

Article

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Authors

Climente-Alarcon, V 
Antonino-Daviu, JA 
Riera-Guasp, M 
Vlcek, M 

Abstract

During the last years, several time-frequency decomposition tools have been applied for the diagnosis of induction motors, for those cases in which the traditional procedures, such as motor current signature analysis, cannot yield the necessary response. Among them, the Cohen distributions have been widely selected to study transient and even stationary operation due to their high-resolution and detailed information provided at all frequencies. Their main drawback, the cross-terms, has been tackled either modifying the distribution, or carrying out a pretreatment of the signal before computing its time-frequency decomposition. In this paper, a filtering process is proposed that uses advanced notch filters in order to remove constant frequency components present in the current of an induction motor, prior to the computation of its distribution, to study rotor asymmetries and mixed eccentricities. In transient operation of machines directly connected to the grid, this procedure effectively eliminates most of the artifacts that have prevented the use of these tools, allowing a wideband analysis and the definition of a precise quantification parameter able to follow the evolution of their state. © 1982-2012 IEEE.

Description

Keywords

AC machines, fault diagnosis, finite-impulse response (FIR) filter, prognosis, time-frequency distributions (TFD), transient

Journal Title

IEEE Transactions on Industrial Electronics

Conference Name

Journal ISSN

0278-0046
1557-9948

Volume Title

61

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Rights

All rights reserved