Busca avançada
Ano de início
Entree


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

Texto completo
Autor(es):
Lucas, Guilherme Beraldi ; De Castro, Bruno Albuquerque ; Ardila-Rey, Jorge Alfredo ; Glowacz, Adam ; Leao, Jose Vital Ferraz ; Andreoli, Andre Luiz
Número total de Autores: 6
Tipo de documento: Artigo Científico
Fonte: IEEE SENSORS JOURNAL; v. 23, n. 8, p. 10-pg., 2023-04-15.
Resumo

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. (AU)

Processo FAPESP: 21/09685-2 - Um novo método de diagnóstico de falhas em motores de indução trifásicos por meio da análise dos sinais de impedância e técnicas avançadas de processamento de sinais
Beneficiário:Guilherme Beraldi Lucas
Modalidade de apoio: Bolsas no Brasil - Doutorado