Condition diagnosis of bearing system using multiple classifiers of ANNs and adaptive probabilities in genetic algorithms
Condition diagnosis in bearing systems needs an effective and precise method to avoid unacceptable consequences from total system failure. Artificial Neural Networks (ANNs) are one of the most popular methods for classification in condition diagnosis of bearing systems.Regarding to ANNs performanc...
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主要な著者: | , , |
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フォーマット: | 論文 |
言語: | English |
出版事項: |
2014
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オンライン・アクセス: | http://repo.uum.edu.my/17476/1/WSEAS%20TSC%20%209%20473-484.pdf http://repo.uum.edu.my/17476/ http://www.wseas.org/multimedia/journals/control/2014/a105703-197.pdf |
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