Neural networks applied for fault diagnosis of AC motors
This paper presents an Artificial Neural Network (ANN) technique to recognize the incipient faults of an AC motor such as a synchronous motor. The proposed ANN-based fault detector is developed using the Resilient Error Back Propagation (RPROP) training algorithm. The fast and reliable method for mu...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Conference or Workshop Item |
| Published: |
2008
|
| Subjects: | |
| Online Access: | http://eprints.utp.edu.my/294/1/paper.pdf http://www.scopus.com/inward/record.url?eid=2-s2.0-57349153136&partnerID=40&md5=9d2c0c34d9d795bf54d8e52692bd1ded http://eprints.utp.edu.my/294/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|