Fault Diagnosis of Rotating Machinery With Limited Expert Interaction: A Multicriteria Active Learning Approach Based on Broad Learning System

Recently, research on the fault diagnosis of rotating machinery, especially for the compound or unknown cases, has drawn increasing attention. Some advanced learning-based approaches have achieved good fault diagnosis performance to some degree. However, in practical applications, how to utilize pri...

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Vydáno v:	IEEE transactions on control systems technology Ročník 31; číslo 2; s. 953 - 960
Hlavní autoři:	Liu, Zeyi, Zhang, Jingfei, He, Xiao, Zhang, Qinghua, Sun, Guoxi, Zhou, Donghua
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York IEEE 01.03.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Active learning Annotations Broad learning system (BLS) Correlation Costs Fault diagnosis Feature extraction Learning Machinery multicriteria active learning (MCAL) Multiple criterion Rotating machinery Task analysis Vibrations
ISSN:	1063-6536, 1558-0865
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