Inter-turn Short Circuit Diagnosis Using New D-Q Synchronous Min–Max Coordinate System and Linear Discriminant Analysis

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.

Fault Diagnosis of Induction Motor Using D-Q Simplified Model and Parity Equations

“…According to stator faults, particularly stator winding faults and inter-turn short-circuit faults, many extensive and exclusive works have been found on a single fault with different approaches, such as the analysis by: Harmonic sequence current components analysis [3], operative condition monitoring [4], discriminant analysis using the D-Q synchronous frame [5,6], observer-based estimation [7], spectral analysis using vibration sensors [8], artificial intelligence using neuronal network [9,10], etc.…”