Condition diagnosis of multiple bearings using adaptive operator probabilities in genetic algorithms and back propagation neural networks
Condition diagnosis of bearings is one of the most common plant maintenance activities in manufacturing industries. It is essential to detect bearing faults early to avoid unexpected breakdown of plant due to undetected faulty bearings. Many meta-heuristics techniques for condition diagnosis of sing...
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| Main Authors: | , , |
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| Format: | Article |
| Published: |
Springer London
2015
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/58141/ http://dx.doi.org/10.1007/s00521-014-1698-6 |
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