Assessment of diagnostic and prognostic condition indices for efficient and robust maintenance decision-making of systems subject to stress corrosion cracking. (March 2017)

• Record Type: Journal Article
• Authors: Huynh, K.T.; Grall, A.; Bérenguer, C.
• Is Part Of: Reliability engineering & system safety. Volume 159(2017)
• Page Start: 237
• Page End: 254
• Publication Date: 2017-03
• Subjects: CBM condition-based maintenance -- CM condition monitoring -- SCC stress corrosion cracking -- HPP homogeneous Poisson process -- HGP homogeneous Gamma process -- DTS degradation-threshold-shock -- RUL residual useful life -- MRL mean residual life -- PR preventive replacement -- CR corrective replacement -- pdf probability density function -- cdf cumulative distribution function; Condition-based maintenance -- Diagnostic and prognostic condition index -- Mathematical cost model -- Residual useful life -- Robust decision -- Stress corrosion cracking; 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.2016.11.022
• Languages: English
• ISSNs: 0951-8320

Abstract

Abstract: Seeking condition indices characterizing the health state of a system is a key problem in condition-based maintenance. For this purpose, diagnostic and prognostic models have been unceasingly developed and improved over the past few decades; nevertheless none of them explains thoroughly the impacts of such indices on the effectiveness of maintenance operations. As a complement to these efforts, this paper analyzes the effectiveness of some well-known diagnostic and prognostic indices for maintenance decision-making. The study is based on a system subject to competing risks due to multiple crack paths. A periodic inspection scheme is used to monitor the system health state. Each inspection returns the perfect diagnostic information: the number of cracks, corresponding crack sizes, and the system failure/working state. Based on this information, two kinds of prognostic condition indices are predicted: the average value and probability law of the system residual useful life. The associated condition-based maintenance strategies and cost models are then developed and compared with the ones whose maintenance decisions are based on diagnostic condition indices. The comparison results allow us to conclude on the performance and on the robustness of these strategies, hence giving some suggestions on the choice of reliable condition indices for maintenance decision-making. Abstract : Highlights: Developing a new and generic degradation and failure model. Synthesizing diagnostic and prognostic condition indices on the basis of the developed degradation and failure model. Building diagnosis and prognosis-based maintenance strategies, and developing the associated cost models. Assessing the performance and robustness of the considered strategies to find out reliable indices.