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With the advent of Industry 4.0, the structure and function of the manufacturing system are becoming more and more complicated. Fault diagnosis and health management with predictive ability are the prerequisite for the effective and intelligent operation of the manufacturing system. Different from previous studies about the Prognostics and Health Management are always confined to the static modeling...
Systematic and accurate health estimation for the running manufacturing system is the prerequisite to implement production scheduling and predictive maintenance. This enables remedial actions to be taken in advance and reschedule of production if necessary. However, existing studies pay more attention to the failure diagnosis of equipment, while ignoring the output and input characteristics of the...
Traditional reliability modeling for manufacturing systems often pays too much attention to the basic reliability of their components, which ignores the dynamic polymorphism characteristics of the multi-station manufacturing system. To resolve this dilemma, a novel mission reliability modeling approach of manufacturing systems is proposed at the first. This method regards the dynamic state change...
Decreasing the complexity is the effective way to improve the reliability of manufacturing systems. However, the research on the reliability oriented complexity analysis for manufacturing system is rare. A reliable manufacturing system is a prerequisite to ensure the well-designed products be manufactured faultlessly. In this context, this paper proposes an axiomatic complexity analysis model of manufacturing...
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