Frequency Extraction of Current Signal Spectral Components: A New Tool for the Detection of Rotor Electrical Faults in Induction Motors

Journal
International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives, SDEMPED 2019
Date Issued
August 1, 2019
Author(s)
DOI
10.1109/DEMPED.2019.8864893
Abstract
This work expands the classical current signature analysis in induction machines in a two-stage spectral decomposition manner. The proposed methodology can be summarized in two main steps: initially, the current signals are analyzed using a time frequency representation, with the analysis focusing on the steady-state regime; thereafter, frequency extraction is applied to the spectral signatures of interest, aiming to identify specific fault related harmonic subcomponents induced by the fault related speed ripple effect. The proposed approach is verified experimentally on a 4 kW induction motor.
Subjects

Broken bars

Frequency extraction

Spectral components

T-f analysis

File(s)
Thumbnail Image
Name

Frequency_Extraction_of_Current_Signal_Spectral_Components_A_New_Tool_for_the_Detection_of_Rotor_Electrical_Faults_in_Induction_Motors.pdf

Size

1.92 MB

Format

Adobe PDF

Checksum (MD5)

4f47d9935d6a97b0e8fee3284bd6d4ad