Diagnosis and prognosis of bearing failure in rotating machinery using acoustic emission and artificial neural network
Bearing failure is well-known as a common problem in industries. Therefore, timely diagnosis and prognosis (DAP) of bearing fault is very crucial in order to prevent sudden damages. This paper proposes the practical method of bearing fault DAP using acoustic emission (AE) technique assisted with art...
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| Main Authors: | , , |
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| Format: | Article |
| Published: |
The Institute of Electrical Engineers of Japan
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| Subjects: | |
| Online Access: | http://eprints.uthm.edu.my/3027/ |
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