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	Multisensor Feature Fusion for Bearing Fault Diagnosis Using Sparse Autoencoder and Deep Belief Network
	Chen, Zhuyun[1]; Li, Weihua[1]
刊名	IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
	2017
卷号	66页码:1693-1702
关键词	Bearings deep belief network (DBN) fault diagnosis sensor fusion sparse autoencoder (SAE)
URL标识	查看原文
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/2187676
专题	华南理工大学
作者单位	South China Univ Technol, Sch Mech & Automot Engn, Guangzhou 510640, Guangdong, Peoples R China
推荐引用方式 GB/T 7714	Chen, Zhuyun[1],Li, Weihua[1]. Multisensor Feature Fusion for Bearing Fault Diagnosis Using Sparse Autoencoder and Deep Belief Network[J]. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT,2017,66:1693-1702.
APA	Chen, Zhuyun[1],&Li, Weihua[1].(2017).Multisensor Feature Fusion for Bearing Fault Diagnosis Using Sparse Autoencoder and Deep Belief Network.IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT,66,1693-1702.
MLA	Chen, Zhuyun[1],et al."Multisensor Feature Fusion for Bearing Fault Diagnosis Using Sparse Autoencoder and Deep Belief Network".IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT 66(2017):1693-1702.

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