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Probabilistic diagnosis of short‐circuit faults and insulation deterioration of stator winding of motor
Author(s) -
Nakamura Hisahide,
Mizuno Yukio
Publication year - 2013
Publication title -
electrical engineering in japan
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.136
H-Index - 28
eISSN - 1520-6416
pISSN - 0424-7760
DOI - 10.1002/eej.22399
Subject(s) - stator , impulse (physics) , probabilistic logic , electromagnetic coil , reliability engineering , engineering , fault (geology) , reliability (semiconductor) , voltage , structural engineering , electrical engineering , computer science , artificial intelligence , physics , power (physics) , quantum mechanics , seismology , geology
Short‐circuit faults of winding due to deterioration of the insulation are one of the most probable faults in motor drive systems. An easy and eective method for fault diagnosis is very much needed to assure operation with high reliability. This paper proposes a novel method for diagnosing both short‐circuit faults and insulation deterioration in windings. This method involves an impulse voltage test and probabilistic process for gauging the probability of fault occurrence by analyzing the distributions of features depending on the condition of the winding. In this paper, rst, we discuss the results of several impulse tests on the winding. Second, two features that represent the characteristics corresponding to the condition of the winding are induced, and their feature distributions are determined. Third, we introduce the probability that can be used to diagnose conditions of the winding. The average and standard deviation of both features are calculated. By using the calculated values and features observed in a target winding to be examined, the fault probability is computed. Finally, the usefulness of the proposed diagnosis method is veried by experiments involving the use of faulty and deteriorating windings. © 2013 Wiley Periodicals, Inc. Electr Eng Jpn, 184(1): 30–41, 2013; Published online in Wiley Online Library (wileyonlinelibrary.com). DOI 10.1002/eej.22399