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A Novel Approach Applied to Transient Short-Circuit Diagnosis in TIMs by Piezoelectric Sensors, PCA, and Wavelet Transform

2023; IEEE Sensors Council; Volume: 23; Issue: 8 Linguagem: Inglês

10.1109/jsen.2023.3252816

1558-1748

Guilherme Beraldi Lucas, Bruno Albuquerque de Castro, Jorge Alfredo Ardila‐Rey, Adam Głowacz, José Vital Ferraz Leão, André Luiz Andreoli,

Welding Techniques and Residual Stresses

Noninvasive fault diagnosis of three-phase induction motors (TIMs) is widely used in industrial applications to ensure the integrity of processes. Among different types of TIM failures, transient interturn short circuits (ITSCs) are incipient stator winding faults characterized as short circuits between two or more turns of the coils, that can lead the winding to progressive deterioration and, consequently, the TIM to total failure. In this context, this article proposes a novel approach by using piezoelectric transducers (PZTs), which performs the transient ITSC detection, phase identification, and magnitude classification by using the acoustic emission (AE) technique. To accomplish this analysis, a new statistical index based on the cross-correlation function was proposed to detect the ITSC and classify its magnitude. Besides, wavelet transform and principal component analysis (PCA) stood out as promising tools to identify which phase was affected by the short circuits. A TIM was subjected to ITSCs, and the experimental results showed that the proposed algorithm successfully performed the transient ITSC detection, phase identification, and evolution classification. In addition, this work improve the capabilities of traditional AE systems, since no AE signal processing algorithm has ever been proposed for a comprehensive diagnosis of transient ITSC.