A Nonlinear Preventive Maintenance Model with an Environmental Factor Based Weibull Distribution. (May 2019)

• Record Type: Journal Article
• Authors: Gao, Wenke; Ji, Hong; Wang, Yu; Yang, Tianshu
• Is Part Of: IOP conference series. Volume 521(2019)
• Publication Date: 2019-05
• Subjects: Nonlinear preventive maintenance model -- Weibull distribution -- shape adjustment parameter -- maintenance effect -- environmental factor; Materials science -- Periodicals; 620.1105
• DOI: 10.1088/1757-899X/521/1/012009
• Languages: English
• ISSNs: 1757-8981

Abstract

Abstract: Most of the Preventive maintenance (PM) reliability modeling research has focused on the relationship between two adjacent failure intensity functions, while few real case studies have demonstrated the application of these PM models. Thinking from this vision, a nonlinear PM model with scale and shape adjustment parameters is proposed based on a Weibull distribution, and two adjustment parameters can describe each PM effect. Meanwhile, the proposed model can separate the influence of an environmental factor from the failure intensity function of the new system when it operates under a new condition. The environmental parts in the failure intensity function can be improved or removed after several PM actions. Finally, one real case study is exhibited to illustrate the proposed model. The results indicate that the proposed model exhibits good fitting performance in reliability modeling and can describe the PM effect quantitatively as well as reveal the influence of the environmental factor on the system reliability.