A Mission-Reliability-Oriented Health Prognosis Approach for Manufacturing Systems Considering Operational Uncertainty

• Published in: IEEE transactions on reliability Vol. 73; no. 1; pp. 650 - 663
• Main Authors: Cai, Yuqi, He, Yihai, Shi, Rui, Li, Jiayang
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.03.2024; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Deep reinforcement learning; Deep reinforcement learning (DRL); Degradation; Ferrite; health prognosis; Machine learning; Manufacturing; manufacturing system; Manufacturing systems; mission reliability; operational uncertainty; Phase shifters; Production; Prognosis; Prognostics and health management; Reliability; Reliability theory; Risk management; uncertain production risk process; Uncertainty

Considering the objective of production task accomplishment, the health state of manufacturing systems is contingent on three key operational factors: 1) task requirements, 2) equipment performance, and 3) product quality. Throughout the system lifecycle, these factors are subject to varying degrees...