Strict-Feedback Backstepping Digital Twin and Machine Learning Solution in AE Signals for Bearing Crack Identification.

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作者： Farzin,Piltan ^[1] ; Rafia Nishat,Toma ^[1] ; Dongkoo,Shon ^[1] ; Kichang,Im ^[2] ; Hyun-Kyun,Choi ^[3] ; Dae-Seung,Yoo ^[3] ; Jong-Myon,Kim ^[1]

作者单位： Department of Electrical, Electronics and Computer Engineering, University of Ulsan, Ulsan 44610, Korea. ^[1] ICT Convergence Safety Research Center, University of Ulsan, Ulsan, 44610, Korea. ^[2] Electronics and Telecommunications Research Institute (ETRI), Daejeon 34129, Korea. ^[3]

关键词 Gaussian process regression Laguerre filter acoustic emission autoregressive technique bearing crack size diagnosis crack type diagnosis digital twin fuzzy logic machine learning strict-feedback backstepping observer support vector machine support vector regression

主题词算法(Algorithms);人工智能(Artificial Intelligence);反馈(Feedback);模糊逻辑(Fuzzy Logic)

DOI 10.3390/s22020539

PMID 35062499

发布时间 2022-01-28

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