Gheitasi, A. and Moghavvemi, M. and Omar , R. (2009) Speed variant motor fault diagnosis applying significant frequency bands. In: 2009 IEEE Student Conference on Research and Development, SCOReD 2009, 16-18 November 2009, Serdang, Malaysia.
Full text not available from this repository.Abstract
The need for proper diagnosis and prediction of motor faults is vital for reliable and smooth operation of industrial sites. This however, is expensive, complex and hard to meet the standard required of reliable protection system. The diagnosis problems are more serious in speed variant motors because of change of placements and configurations of faulty patterns. In this paper, using Motor current signature analysis, a simple and effective method is proposed in pattern reorganization. In this strategy, the possibility of the presence of a fault symptom, in well known frequency zones and, expected portion of detectable faults in significant frequency zones is applied to measure and possibility rank the seriousness of faulty events in electrical machines.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Funders: | UNSPECIFIED |
| Additional Information: | Article number 5443003 ISBN: 978-142445187-6 DOI: 10.1109/SCORED.2009.5443003 |
| Uncontrolled Keywords: | Diagnosis problem; Electrical machine; Fault symptoms; Frequency zones; Industrial sites; Motor current signature analysis; Motor fault; Protection systems; Failure analysis; Frequency bands; Electric machinery |
| Subjects: | T Technology > TA Engineering (General). Civil engineering (General) |
| Divisions: | Faculty of Engineering |
| Depositing User: | Ms. Norhamizah Tamizi |
| Date Deposited: | 27 Mar 2014 02:23 |
| Last Modified: | 23 Nov 2017 02:27 |
| URI: | http://eprints.um.edu.my/id/eprint/9746 |
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