Robust algorithm for electric fault diagnosis in the three phase induction machine based on spectral and wavelet tools.

• Main Authors: Francisco Javier Villalobos Piña, Ricardo Álvarez Salas
• Format: Article
• Language: Spanish
• Published: Universitat Politecnica de Valencia 2015-07-01
• Series: Revista Iberoamericana de Automática e Informática Industrial RIAI
• Subjects: Diagnóstico de fallas; motores de inducción; vector espacial instantáneo; transformada rápida de Fourier; ondeletas
• Online Access: https://polipapers.upv.es/index.php/RIAI/article/view/9363

This work present a group of tools based on the fast Fourier transform (FFT) and Haar, Daubechies and Coiflet discrete wavelet transform (DWT), using the Park's instantaneous space phasor module (ISP) of the three phase induction machine stator currents for electric stator and rotor fault diagnosis. A simulation and experimental validation for inter-turn stator short-circuit electric fault and end-ring broken rotor fault diagnosis was performed. The main objective of the work is to perform a non invasive electric fault diagnosis to avoid economical losses in the industrial process using the advantages of spectral and wavelet tools.