Intelligent fault diagnosis of rolling bearing using hierarchical convolutional network based health state classification

Chen Lü; Zhenya Wang; Bo Zhou

doi:10.1016/j.aei.2017.02.005

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Intelligent fault diagnosis of rolling bearing using hierarchical convolutional network based health state classification

Chen Lü Zhenya Wang Bo Zhou

Year: 2017 Journal: Advanced Engineering Informatics Vol: 32 Pages: 139-151 Publisher: Elsevier BV

DOI: 10.1016/j.aei.2017.02.005

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Keywords:

Artificial intelligence Deep belief network Convolutional neural network Computer science Pattern recognition (psychology) Feature extraction Deep learning Fault (geology) Classifier (UML) Feature learning Computation Machine learning Algorithm

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Topics

Machine Fault Diagnosis Techniques

Physical Sciences → Engineering → Control and Systems Engineering

Gear and Bearing Dynamics Analysis

Physical Sciences → Engineering → Mechanical Engineering

Advanced machining processes and optimization

Physical Sciences → Engineering → Mechanical Engineering

Intelligent fault diagnosis of rolling bearing using hierarchical convolutional network based health state classification

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