Fault diagnosis method of rolling bearing based on deep belief network
'
Fault diagnosis method of rolling bearing based on deep belief network' 의 참고문헌
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Research on bearing condition monitoring based on deep learning
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Reliability analysis of complex multi-state system with common cause failure based on evidential networks
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Overview of deep learning
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Optimizing the wind power generation in low wind speed areas using an advanced hybrid RBF neural network coupled with the HGA-GSA optimization method
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Fault diagnosis in dynamic systems using analytical and knowledge-based redundancy, A survey and some new results
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Failure diagnosis using deep belief learning based health state classification
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Bearing condition dynamic monitoring based on Multi-way sparse autocoder
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An improved initialization method of D-KSVD algorithm for bearing fault diagnosis
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An approach to fault diagnosis of reciprocating compressor valves using Teager-Kaiser energy operator and deep belief networks
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A deep learning-based method for machinery health monitoring with big data
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Fault diagnosis method of rolling bearing based on deep belief network'
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