A DWT and SVM based method for rolling element bearing fault diagnosis and its comparison with Artificial Neural Networks
A classification technique using Support Vector Machine (SVM) classifier for detection of rolling element bearing fault is presented here. The SVM was fed from features that were extracted from of vibration signals obtained from experimental setup consisting of rotating driveline that was mounted o...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Shahid Chamran University of Ahvaz
2017-04-01
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| Series: | Journal of Applied and Computational Mechanics |
| Subjects: | |
| Online Access: | http://jacm.scu.ac.ir/article_12739_beeff8f4820a36f3f892fa38cec5f8fa.pdf |