Abstract
This paper presents an application based on higher order spectra (HOS) for fault pattern extraction of induction motors. The focus was put on one of major HOS measures, the bispectrum in particular. The bispectrum is the third-order frequency domain measure, which contains information that conventional spectral analysis techniques cannot provide. A series of experiments for fault diagnosis of induction motors by vibration bispectrum analysis were carried out. The experimental results showed that the bispectrum of vibration could significantly suppress the noise and therefore highlight the relevant fault symptoms. It was also found that there were unique bispectrum patterns for different faults of induction motors.
Original language | English |
---|---|
Title of host publication | 9th International Conference on Power Electronics and ECCE Asia (ICPE-ECCE Asia), (Seoul, 1-5 June 2015) |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 1579-1584 |
Number of pages | 6 |
ISBN (Electronic) | 9788957082546 |
ISBN (Print) | 9781479988006 |
DOIs | |
Publication status | Published - 30 Jul 2015 |
Externally published | Yes |
Event | 9th International Conference on Power Electronics and ECCE Asia - Seoul, South Korea, Korea, Democratic People's Republic of Duration: 1 Jun 2015 → 5 Jun 2015 Conference number: 9 |
Conference
Conference | 9th International Conference on Power Electronics and ECCE Asia |
---|---|
Abbreviated title | ICPE-ECCE Asia |
Country/Territory | Korea, Democratic People's Republic of |
City | South Korea |
Period | 1/06/15 → 5/06/15 |
Fingerprint
Dive into the research topics of 'The Higher Order Spectrum Analysis for Fault Pattern Extraction of Induction Motors'. Together they form a unique fingerprint.Profiles
-
Bo Liang
- Department of Engineering - Senior Lecturer
- School of Computing and Engineering
- Institute of Railway Research - Member
- Centre for Efficiency and Performance Engineering - Member
Person: Academic