Method for Diagnosing a Short-Circuit Fault in the Stator Winding of a Motor Based on Parameter Identification of Features and a Support Vector Machine

Hisahide Nakamura,Yukio Mizuno

doi:10.3390/en13092272

Abstract

Motors are widely used in various industrial fields as key power sources, and their importance is increasing. According to the failure occurrence rates of the parts in an electric motor, a short-circuit fault of the winding due to the deterioration of the insulation is among the most probable. An easy and effective method for diagnosing faults is needed to ensure the working condition of a motor with high reliability. This paper proposes a novel method for diagnosing a slight turn-to-turn short-circuit fault in a stator winding that involves an impulse test, parameter identification, and diagnosis. In this work, impulse tests were conducted; the measured voltage characteristics are discussed. Next, the parameter identification of the coefficients of the equivalent circuit of the impulse test was performed using particle swarm optimization. Finally, diagnosis was performed based on a support vector machine that has high classification ability, and the effectiveness of the proposed method was verified experimentally.

Highlights

Motors are used widely in various industrial fields as key power sources, and their importance is increasing
This paper proposes a novel method for the detailed diagnosis of a slight turn-to-turn short-circuit fault (SCF) in a stator winding
This study proposed a novel method—involving an impulse test, parameter identification, and diagnosis—to diagnose slight turn-to-turn SCFs in motor windings

Summary

Introduction

Motors are used widely in various industrial fields as key power sources, and their importance is increasing. According to the failure occurrence rates of the parts in a motor, the stator winding is among those most likely to fail, accounting for up to 25% of all failures [1,2]. If a stator winding suffers a short-circuit fault (SCF), it can rapidly develop into a more serious fault, such as ground fault or even a fire. SCFs are among the most critical faults that must be detected. If an SCF is detected early under relatively minor conditions, an effective remedy can be taken to avert disaster. An easy and effective method for fault diagnosis is needed to ensure the operating condition of a motor with high reliability

Results

Discussion

Conclusion