Manufacturing Paradigm-Oriented PHM Methodologies for Cyber-Physical Systems

Ershun Pan, Tangbin Xia () and Lifeng Xi
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Ershun Pan: Shanghai Jiao Tong University
Tangbin Xia: Shanghai Jiao Tong University
Lifeng Xi: Shanghai Jiao Tong University

A chapter in Advances in Reliability and Maintainability Methods and Engineering Applications, 2023, pp 421-443 from Springer

Abstract: 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 chapter: 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.

Keywords: Maintenance; Dynamic programming; Manufacturing paradigms; Cyber-physical systems (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:spr:ssrchp:978-3-031-28859-3_17

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DOI: 10.1007/978-3-031-28859-3_17

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