A Weibull-based recurrent regression model for repairable systems considering double effects of operation and maintenance: A case study of machine tools. (September 2021)

• Record Type: Journal Article
• Authors: Hu, Wei; Yang, Zhaojun; Chen, Chuanhai; Wu, Yue; Xie, Qunya
• Is Part Of: Reliability engineering & system safety. Volume 213(2021)
• Publication Date: 2021-09
• Subjects: Reliability assessment -- Machine tools -- Operational condition -- Maintenance -- Bathtub shape -- Weibull-based general renewal process; 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.2021.107669
• Languages: English
• ISSNs: 0951-8320

Abstract

Highlights: A recurrent regression model for handling the bathtub-shaped failure process effectively Consideration of multiplicative and cumulative effects of operation and maintenance A richer and more flexible failure process, especially bathtub-shaped failure process An efficient estimation procedure for supporting the proposed model's application Study of the proposed model's usefulness to bathtub-shaped simulated and real cases Abstract: The failure processes of repairable systems may be impacted by operational conditions and repair activities. In reliability engineering, many real-life data have a bathtub-shaped failure intensity (FI). In order to handle the relationship between the effects of operational conditions and maintenance and bathtub-shaped FI, this paper proposes a double effects regression model in the context of the Weibull-based general renewal process. The model considers the multiplicative and cumulative effects of operational conditions, indicating both scale and shape parameters of the underlying Weibull distribution can potentially change with operational covariates and virtual age. It extends a recurrent regression model to the case of a bathtub-shaped FI and further provides more flexible FI shapes by setting different ranges of effect coefficients. An efficient parameter estimation procedure is illustrated to support the application of the proposed model. The proposed model is shown to more closely describe the bathtub-shaped failure process through several simulated and real-life examples.