Speed variant motor fault diagnosis applying significant frequency bands
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 becau...
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| Format: | Conference or Workshop Item |
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2009
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| _version_ | 1825719757844774912 |
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| author | Gheitasi, A. Moghavvemi, M. Omar , R. |
| author_facet | Gheitasi, A. Moghavvemi, M. Omar , R. |
| author_sort | Gheitasi, A. |
| collection | UM |
| description | 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. |
| first_indexed | 2024-03-06T05:24:38Z |
| format | Conference or Workshop Item |
| id | um.eprints-9746 |
| institution | Universiti Malaya |
| last_indexed | 2024-03-06T05:24:38Z |
| publishDate | 2009 |
| record_format | dspace |
| spelling | um.eprints-97462017-11-23T02:27:20Z http://eprints.um.edu.my/9746/ Speed variant motor fault diagnosis applying significant frequency bands Gheitasi, A. Moghavvemi, M. Omar , R. TA Engineering (General). Civil engineering (General) 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. 2009-11 Conference or Workshop Item PeerReviewed 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. |
| spellingShingle | TA Engineering (General). Civil engineering (General) Gheitasi, A. Moghavvemi, M. Omar , R. Speed variant motor fault diagnosis applying significant frequency bands |
| title | Speed variant motor fault diagnosis applying significant frequency bands |
| title_full | Speed variant motor fault diagnosis applying significant frequency bands |
| title_fullStr | Speed variant motor fault diagnosis applying significant frequency bands |
| title_full_unstemmed | Speed variant motor fault diagnosis applying significant frequency bands |
| title_short | Speed variant motor fault diagnosis applying significant frequency bands |
| title_sort | speed variant motor fault diagnosis applying significant frequency bands |
| topic | TA Engineering (General). Civil engineering (General) |
| work_keys_str_mv | AT gheitasia speedvariantmotorfaultdiagnosisapplyingsignificantfrequencybands AT moghavvemim speedvariantmotorfaultdiagnosisapplyingsignificantfrequencybands AT omarr speedvariantmotorfaultdiagnosisapplyingsignificantfrequencybands |