Diagnosis methods for stator winding faults in three-phase squirrel-cage induction motors

Abstract

SUMMARYInduction motors condition monitoring is a very important process for immediate detection of the incipient faults. This prevents the spread of the faults up to risky degrees and avoids catastrophic stop of the motor and relevant production line. The stator winding fault is one of the most commonly occurring faults in alternating current machines. This paper is a comprehensive survey on the stator winding faults causes, diagnosis methods, indexes, and modeling and simulation methods. An efficient method is used to model and simulate the squirrel‐cage induction motor performance under inter‐turn fault. The results are used to obtain the performance of some common indexes of the fault and recognize the most proper index. Finally, some simulation results are compared with the corresponding experimental results and good agreements are achieved. Copyright © 2013 John Wiley & Sons, Ltd.

An experimental investigation of new electromagnetic field signal for stator asymmetric fault detection of doubly fed induction generators

“…14,17,18 It is well known that the appearance of fault leads to changes in the electric or magnetic circuits of induction machines. This kind of fault seems to be the most frequent in the generator.…”

Stator inter-turn fault detection for the converter-fed induction motor based on the adjacent-current phase-shift

“…In the past two decades, various attempts have been made to investigate the detection methods, including vibration monitoring, thermal monitoring, acoustic emission monitoring, magnetic flux, and partial discharge monitoring [1]- [3], [6]. But all these methods require expensive sensors and external tools.…”

“…As shown in surveys, 30%-40% of induction motor failures are due to stator winding breakdown [2]. Hence, the reliability of IM stator winding has become a considerable issue [3].…”

“…The elliptic pattern of vector is shown in d-q plane, and the features, such as eccentricity, are extracted as severity of the fault. Moreover, multiple reference frames [22] and synchronous reference frame [3] are also powerful tools in fault diagnosis. Because under these frames AC signals are converted into DC components, and novel characteristic frequencies are available.…”

“…But all these methods require expensive sensors and external tools. Hence, numerous non-invasive techniques simply based on current, voltage, power, among other electrical quantities, have been proposed for monitoring the stator inter-turn fault [3], [6]- [9].…”