Artificial neural network for bearing defect detection based on acoustic emission
Neural networks have been widely used for many applications. One of the applications is forecasting. Many studies have proven that neural networks can provide good accuracy on forecasting future data with over than 80% accuracy. In this study, neural network is used to predict bearing defects. Two l...
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| Main Authors: | , |
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| Format: | Article |
| Published: |
Springer Verlag (Germany)
2010
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| Subjects: | |
| Online Access: | http://eprints.um.edu.my/12439/ |
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| Institution: | Universiti Malaya |