PRECEDENT-FREE FAULT LOCALIZATION AND DIAGNOSIS FOR HIGH SPEED TRAIN DRIVE SYSTEMS
In this paper, a framework for localization of sources of unprecedented faults in the drive train system of high speed trains is presented. The framework utilizes distributed anomaly detection, with anomaly detectors based on the recently introduced Growing Structure Multiple Model Systems (GSMMS) m...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
University of Niš
2015-08-01
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| Series: | Facta Universitatis. Series: Mechanical Engineering |
| Online Access: | http://casopisi.junis.ni.ac.rs/index.php/FUMechEng/article/view/832 |