Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Advanced Induction Motor Rotor Fault Diagnosis Via Continuous and Discrete Time-Frequency Tools

Authors
Pons-Llinares, JoanAntonino-Daviu, Jose A.Riera-Guasp, MartinLee, Sang BinKang, Tae-juneYang, Chanseung
Issue Date
Mar-2015
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Keywords
AC motors; failure analysis; fault diagnosis; Fourier transforms; induction motors; maintenance; rotors; signal processing; transient analysis; wavelet transforms
Citation
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, v.62, no.3, pp.1791 - 1802
Indexed
SCIE
SCOPUS
Journal Title
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
Volume
62
Number
3
Start Page
1791
End Page
1802
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/94216
DOI
10.1109/TIE.2014.2355816
ISSN
0278-0046
Abstract
Transient-based fault diagnosis in induction motors has gained increasing attention over the recent years. This is due to its ability to avoid eventual wrong diagnostics of the conventional motor current signature analysis in certain industrial situations (presence of load toque oscillations, light loading conditions, and so on). However, the application of these transient methodologies requires the use of advanced signal processing tools. This paper presents a detailed comparison between the two main groups of transforms that are employed in transient analysis: discrete and continuous. This paper does not focus on trivial fault cases but on difficult real situations where the application of the conventional methods often leads to false diagnostics (outer bar breakages in double-cage motors, motors with rotor axial duct influence, and combined faults). Indeed, it is the first time that continuous tools are applied to some of these controversial situations. The results in this paper prove the special advantages of the continuous transforms, tearing down some false myths about their use.
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Engineering > School of Electrical Engineering > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Lee, Sang bin photo

Lee, Sang bin
College of Engineering (School of Electrical Engineering)
Read more

Altmetrics

Total Views & Downloads

BROWSE