Start-up transient analysis using CWT and ridges for broken rotor bar fault diagnosis

This paper introduces a reliable approach based on start-up transient analysis using continuous wavelet transform (CWT) and ridges (local maxima in spectrogram) for early detection of a broken rotor bar fault in an induction motor. The main goal is to track the evolution of the fault frequency compo...

Full description

Saved in:
Bibliographic Details
Published in:Electrical engineering 2023-02, Vol.105 (1), p.221-232
Main Authors: Halder, Sudip, Bhat, Sunil, Dora, Bimal
Format: Article
Language:English
Subjects:
Breakage
CAD
Computer aided design
Continuous wavelet transform
Economics and Management
Electrical Engineering
Electrical Machines and Networks
Energy Policy
Engineering
Fault diagnosis
Finite element method
Frequencies
Induction motors
Original Paper
Power Electronics
Ridges
Rotors
Simulation
Time-frequency analysis
Transient analysis
Wavelet transforms
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:This paper introduces a reliable approach based on start-up transient analysis using continuous wavelet transform (CWT) and ridges (local maxima in spectrogram) for early detection of a broken rotor bar fault in an induction motor. The main goal is to track the evolution of the fault frequency components related to rotor bar breakage in the starting current of the motor. The CWT has been used to limit the current signal to a specific frequency band (suitable for observing the dynamics of fault frequencies), and ridges in the time–frequency domain are computed to observe the fault feature related to rotor bar breakage. The suggested work’s key benefit is the precise visualization of the fault feature in the time–frequency plane to detect the rotor fault. A quantitative analysis of fault severity has also been presented. A finite element model (FEM) of the machine is simulated in ANSYS 2D workbench to investigate the fault. The proposed method is validated with simulated data, and to demonstrate the efficacy of the method, various simulation scenarios with varying load torques have been presented. Finally, the diagnosis approach is validated using an accessible public data set corresponding to the aforementioned fault.
ISSN:0948-7921
1432-0487
DOI:10.1007/s00202-022-01657-7