Life-cycle maintenance cost analysis framework considering time-dependent false and missed alarms for fault diagnosis. (April 2019)

• Record Type: Journal Article
• Authors: Yoon, Joung Taek; Youn, Byeng D.; Yoo, Minji; Kim, Yunhan; Kim, Sooho
• Is Part Of: Reliability engineering & system safety. Volume 184(2019)
• Page Start: 181
• Page End: 192
• Publication Date: 2019-04
• Subjects: Fault diagnosis -- Time‐dependent false and missed alarms -- Life‐cycle maintenance cost -- False and missed alarm weights -- Electro‐hydrostatic actuator (EHA); 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.2018.06.006
• Languages: English
• ISSNs: 0951-8320

Abstract

Highlights: A life‐cycle maintenance cost analysis method for fault diagnosis is proposed. Time‐dependent false and missed alarms in fault diagnosis are considered. A false and missed alarm weight optimization method is proposed. A life‐cycle maintenance cost is minimized with the proposed methods. Abstract: Fault diagnosis aims to diagnose system failures and to enable timely maintenance that, in turn, can minimize system maintenance costs. In order to evaluate and maximize the benefits from fault diagnosis, the life‐cycle maintenance cost should be analyzed. This paper presents a framework for life‐cycle maintenance cost analysis that considers time‐dependent false and missed alarms in fault diagnosis. First, time‐dependent false and missed alarms are proposed. The false and missed alarm rates are not static but vary depending on the health state of the engineered system, which changes over time. Second, a life‐cycle maintenance cost analysis framework is proposed. This is based upon a stochastic simulation method that can incorporate time‐dependent false and missed alarm rates and various uncertainties, such as health degradation and health restoration through maintenance. Third, a fault diagnosis model design method is proposed, based upon the proposed life‐cycle maintenance cost analysis framework. The proposed method incorporates optimal false and missed alarm weights into the life‐cycle maintenance cost. As a result, the proposed ideas enable accurate estimation and minimization of the overall life‐cycle maintenance cost. The effectiveness of the proposed methods is demonstrated via a numerical example and an electro‐hydrostatic actuator case study.