Reliability analysis of dependent competing failure processes with time-varying δ shock model. (January 2023)

• Record Type: Journal Article
• Authors: Lyu, Hao; Qu, Hongchen; Yang, Zaiyou; Ma, Li; Lu, Bing; Pecht, Michael
• Is Part Of: Reliability engineering & system safety. Volume 229(2023)
• Publication Date: 2023-01
• Subjects: Dependent competing failure processes -- Time-varying δ shock model -- Multiple failure processes -- Degeneration model -- MEMS; Reliability (Engineering) -- Periodicals; System safety -- Periodicals; Industrial safety -- Periodicals; Fiabilité -- Périodiques; Sécurité des systèmes -- Périodiques; Sécurité du travail -- Périodiques; 620.00452
• DOI: 10.1016/j.ress.2022.108876
• Languages: English
• ISSNs: 0951-8320

Abstract

Highlights: A time-varying δ shock model is considered. A general reliability model is developed for dependent competing failure processes with a time-varying δ shock model. The abrupt degeneration increment, degeneration rate, and δ value can transfer simultaneously. All triggering conditions of sudden failure process 1 are considered to better depict the time-varying δ value mechanism. A case study of a microelectromechanical system (MEMS) is conducted. Abstract: The dependent competing failure process model has received increasing research attention in recent years due to its essential role in describing system reliability. For the δ shock model, as a main type of shock in dependent competing failure process, the system fails if the interval of time between two sequential shocks is less than a threshold δ . As the operation of systems, the aging effect will gradually increase. Thus, systems affected by shocks need more time to recover from damages. In the time-varying δ shock model, if damage shocks occur, the degradation rate and δ value will change multiple times simultaneously. Three failure processes consisting of a soft process induced by a degradation process and two sudden failure processes due to random shocks. Sudden failure processes include fatal shocks and damaged shocks. Damaged shocks affect systems in three different ways: (1) impacting systems by causing the degradation increment, (2) increasing the degradation rate of systems, and (3) impairing systems' performance by increasing the δ value. A real-world example of a microelectromechanical system is presented to show the applicability of the reliability model. Sensitivity analysis is evaluated to demonstrate how parameters affect reliability.