Impulse testing for detection of insulation failure of motor winding and diagnosis based on Hidden Markov Model

Author

Nakamura, Hisahide ; Chihara, Masaaki ; Inoki, Tomokazu ; Higaki, Taizo ; Okuda, Kazuo ; Mizuno, Yukio

Author_Institution

R&D Div., TOENEC Corp., Nagoya, Japan

Volume

17

Issue

5

fYear

2010

fDate

10/1/2010 12:00:00 AM

Firstpage

1619

Lastpage

1627

Abstract

Short circuit fault of a motor, due to breakdown of an insulating material of winding, is one of the most probable faults in motor drive systems. Establishment of an easy and effective fault diagnosis method has been strongly required to assure operation with high reliability. This paper proposes a novel diagnosis method for insulation failure of motor windings by a combination of impulse testing and pattern recognition based on Hidden Markov Model (HMM). A voltage waveform across two winding terminals is recorded under application of an impulse voltage. HMM is exploited to distinguish a small difference in voltage waveforms between healthy and faulty winding insulations. Usefulness of the proposed diagnostic method is verified through voltage waveforms experimentally obtained for motors with several kinds of turn-to-turn insulation failures.

Keywords

fault diagnosis; hidden Markov models; impulse testing; induction motors; insulating materials; machine insulation; pattern recognition; stators; hidden Markov model; impulse testing; insulating materials; motor breakdown; motor short circuit fault diagnosis; motor winding insulation failure; pattern recognition; turn-to-turn insulation failures; voltage waveforms; Circuit faults; Hidden Markov models; Induction motors; Insulation; Stator windings; Voltage measurement; Windings; Hidden Markov Model, impulse test; fault diagnosis, insulation failure, stator winding;

fLanguage

English

Journal_Title

Dielectrics and Electrical Insulation, IEEE Transactions on

Publisher

ieee

ISSN

1070-9878

Type

jour

DOI

10.1109/TDEI.2010.5595566

Filename

5595566