Fault diagnosis method of rolling bearing based on deep belief network

Zhiwu Shang; Xiangxiang Liao; Rui Geng; Maosheng Gao; Xia Liu

doi:10.1007/s12206-018-1012-0

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Fault diagnosis method of rolling bearing based on deep belief network

Zhiwu Shang Xiangxiang Liao Rui Geng Maosheng Gao Xia Liu

Year: 2018 Journal: Journal of Mechanical Science and Technology Vol: 32 (11)Pages: 5139-5145 Publisher: Springer Science+Business Media

DOI: 10.1007/s12206-018-1012-0

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Keywords:

Bearing (navigation) Fault (geology) Deep belief network Artificial intelligence Vibration Artificial neural network Nonlinear system Feature extraction SIGNAL (programming language) Deep learning Computer science Feature (linguistics) Pattern recognition (psychology) Engineering Control theory (sociology) Control engineering Acoustics Geology

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Machine Fault Diagnosis Techniques

Physical Sciences → Engineering → Control and Systems Engineering

Gear and Bearing Dynamics Analysis

Physical Sciences → Engineering → Mechanical Engineering

Engineering Diagnostics and Reliability

Physical Sciences → Engineering → Mechanics of Materials

Fault diagnosis method of rolling bearing based on deep belief network

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