Abstract

In this paper, a direct-quadrature (D-Q) synchronous min–max coordinate system is proposed (as a new method) for diagnosing the occurrence of inter-turn short circuits (ITSC) of three-phase induction motors, and it was found that this method can linearly diagnose such short circuits using only the maximum value of the d-axis current component from the heavy load to the full load. In the diagnosis of ITSC, a method to perform linear discriminant analysis (LDA) efficiently was applied owing to the difficulty of linear separation under light load conditions. In the aforementioned method, time burden is generated because operations are performed for the entire data and between classes. However, the proposed method is useful even when it is applied to the entire load with only the LDA eigenvector of the minimum light load. This is proved by the graphical evaluation of the interaction between the false acceptance rate (FAR) and false recognition rate (FRR), and the results demonstrate that the proposed method is more efficient than existing LDA application methods.

Highlights

  • Induction motors are used in many industrial sites because of their simple structure, good durability, and low cost

  • In [2], the incidence of failures of induction motors was analyzed, and it was revealed that stator failure, rotor failure, and bearing failure account for 46%, 26%, and 11%, respectively

  • Among these types of failures, stator failure can lead to critical failures, which are the focus of diagnosis [3]

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Summary

Introduction

Induction motors are used in many industrial sites because of their simple structure, good durability, and low cost. When the induction motor breaks down owing to certain reasons, it causes extensive damage to the industry. The main causes of induction motor failure can be classified into mechanical and electrical failures. Electrical failures include stator failure and mechanical failures include rotor and bearing failures [1]. In [2], the incidence of failures of induction motors was analyzed, and it was revealed that stator failure, rotor failure, and bearing failure account for 46%, 26%, and 11%, respectively. Among these types of failures, stator failure can lead to critical failures, which are the focus of diagnosis [3]

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