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  • 1.
    Lou, Chuyue
    et al.
    School of Automation, Wuhan University of Technology, Wuhan, China.
    Atoui, M. Amine
    Halmstad University, School of Information Technology, Center for Applied Intelligent Systems Research (CAISR).
    Li, Xiangshun
    School of Automation, Wuhan University of Technology, Wuhan, China.
    Recent deep learning models for diagnosis and health monitoring: a review of researches and future challenges2023In: Transactions of the Institute of Measurement and Control, ISSN 0142-3312, E-ISSN 1477-0369Article in journal (Refereed)
    Abstract [en]

    As an important branch of machine learning, deep learning (DL) models with multiple hidden layer structures have the ability to extract highly representative features from the input. At present, fault detection and diagnosis (FDD) and health monitoring solutions developed based on DL models have received extensive attention in academia and industry along with the rapid improvement of computing power. Therefore, this paper focuses on a comprehensive review of DL model–based FDD and health monitoring schemes in view of common problems of industrial systems. First, brief theoretical backgrounds of basic DL models are introduced. Then, related publications are discussed about the development of DL and graphical models in the industrial context. Afterwards, public data sets are summarized, which are associated with several research papers. More importantly, suggestions on DL model–based diagnosis and health monitoring solutions and future developments are given. Our work will have a positive impact on the selection and design of FDD solutions based on DL and graphical models in the future. © The Author(s) 2023.

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