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Fault diagnosis based on deep learning by extracting inherent common feature of multi-source heterogeneous data
Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering ( IF 1.6 ) Pub Date : 2020-07-10 , DOI: 10.1177/0959651820933380 Funa Zhou 1, 2 , Shuai Yang 2 , Yifan He 2 , Danmin Chen 3 , Chenglin Wen 4
Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering ( IF 1.6 ) Pub Date : 2020-07-10 , DOI: 10.1177/0959651820933380 Funa Zhou 1, 2 , Shuai Yang 2 , Yifan He 2 , Danmin Chen 3 , Chenglin Wen 4
Affiliation
Fault diagnosis can provide a basic guarantee for safe operation of industrial equipment. Deep learning has attracted much attention from experts in the field of fault diagnosis because of its powe...
中文翻译：
基于深度学习提取多源异构数据内在共性特征的故障诊断
故障诊断可为工业设备的安全运行提供基础保障。深度学习因其强大的...
更新日期：2020-07-10
中文翻译：
基于深度学习提取多源异构数据内在共性特征的故障诊断
故障诊断可为工业设备的安全运行提供基础保障。深度学习因其强大的...
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