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Manufacturing paradigm-oriented PHM methodologies for cyber-physical systems

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Abstract

In today’s competitive environment of Industry 4.0, cyber-physical systems (CPS) of various advanced manufacturing paradigms have brought new challenges to maintenance managements. Efficient prognostics and health management (PHM) policies, which can integrate both individual machine deteriorations and different manufacturing paradigms, are urgently needed. Newly proposed PHM methodologies are systematically reviewed in this paper: as the decision basis, an operating load based forecasting algorithm is proposed for machine health prognosis; at the machine level, a dynamic multi-attribute maintenance model is studied for diverse machines in CPS; at the system level, novel opportunistic maintenance policies are developed for complex flow-line production, mass customization and reconfigurable manufacturing systems, respectively. This framework of PHM methodologies has been validated in industrial implementations.

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Acknowledgements

The research is funded partially by National Natural Science Foundation of China (51505288, 51535007), the Programme of Introducing Talents of Discipline to Universities (B06012) and Foundation for Innovative Research Groups of the National Natural Science Foundation of China (51421092).

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Authors and Affiliations

  1. State Key Laboratory of Mechanical System and Vibration, Department of Industrial Engineering, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China

    Tangbin Xia & Lifeng Xi

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  1. Tangbin Xia
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  2. Lifeng Xi
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Correspondence to Lifeng Xi.

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Xia, T., Xi, L. Manufacturing paradigm-oriented PHM methodologies for cyber-physical systems. J Intell Manuf 30, 1659–1672 (2019). https://doi.org/10.1007/s10845-017-1342-2

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  • DOI: https://doi.org/10.1007/s10845-017-1342-2

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