Multiple discriminant analysis and neural-network-based monolith and partition fault-detection schemes for broken rotor bar in induction motors
| dc.date.accessioned | 2008-04-21T20:01:53Z | |
| dc.date.available | 2008-04-21T20:01:53Z | |
| dc.date.issued | 2006 | |
| dc.format.extent | 969960 bytes | |
| dc.format.mimetype | application/pdf | |
| dc.identifier.citation | Ayhan, B., Chow, M. Y., & Song, M. H. (2006). Multiple discriminant analysis and neural-network-based monolith and partition fault-detection schemes for broken rotor bar in induction motors. IEEE transactions on industrial electronics, 53(4), 1298-1308. | |
| dc.identifier.uri | http://www.lib.ncsu.edu/resolver/1840.2/626 | |
| dc.language.iso | en | |
| dc.title | Multiple discriminant analysis and neural-network-based monolith and partition fault-detection schemes for broken rotor bar in induction motors | |
| dc.type | Article |
