Abstract
The integrated production manufacturing system based on cyber-physical system (CPS) is a complex production system that integrates perception, calculation, and control. Studying the multi-state reliability of integrated production manufacturing system based on CPS has the certain theory and practical significance. This paper presented a novel T-S fuzzy fault tree hybrid method to analyse its failure risk and reliability. Firstly, the fuzzy set theory was used to determine the state probability of the bottom event. Then the state probability and fuzzy possibility of the system were determined according to the state probability and actual state of the bottom event, respectively. Finally, the weak reliability links under different failure states of the system were determined according to the importance and sensitivity analysis. The application case analysis shows that the presented method is consistent with the field situation and can provide reference for failure risk and reliability analysis in integrated production manufacturing system based on CPS.
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This work was supported in part by National Natural Science Foundation of China (NSFC) (51774228).
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Xiaoping Bai is currently an Associate Professor in Xi’an University of Architecture and Technology, Xi’an, PRC. His research interests include system engineering etc. His articles have appeared in Journal of Asian Architecture and Building Engineering (SCIE/A&HCI), Frontiers of Structural and Civil Engineering (SCIE), Kubernetes (SCIE), Discrete Dynamics in Nature and Society (SCIE), Scientific World Journal (SCIE), Applied Mathematics and Information Sciences (SCIE), Sage open (SSCI), Tsinghua Science and Technology, etc.
Xiangyun Gu is a master of Xi’an University of Architecture and Technology, Xi’an, PRC. Her research interests include system engineering and system reliability.
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Bai, X., Gu, X. A novel T-S fuzzy fault tree hybrid method for failure risk and multi-state reliability analysis of integrated production manufacturing system based on CPS. J Mech Sci Technol 37, 1819–1828 (2023). https://doi.org/10.1007/s12206-023-0321-0
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DOI: https://doi.org/10.1007/s12206-023-0321-0