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Open AccessArticle

Time-Dependent Probabilistic Model for Hierarchical Structure in Failure Mode and Effect Analysis

1
Research & Business Foundation, Dong-A University Busan, Busan 49315, Korea
2
Department of Natural Science, Korea Naval Academy, Changwon 51704, Korea
*
Author to whom correspondence should be addressed.
Appl. Sci. 2019, 9(20), 4265; https://doi.org/10.3390/app9204265
Received: 1 August 2019 / Revised: 30 September 2019 / Accepted: 4 October 2019 / Published: 11 October 2019
(This article belongs to the Section Applied Industrial Technologies)
Failure mode and effect analysis (FMEA) is a structured technique for identifying risks that may occur during a given stage of a system’s life cycle. However, the use of the risk priority number (RPN) in traditional FMEA results in difficulties with regard to quantification of the degree of risk in the hierarchical failure structure. This study proposes the use of a hierarchical time-dependent FMEA approach to overcome the limitations encountered during the implementation of traditional FMEA approaches. In place of the RPN, a probabilistic loss model is developed under a hierarchical structure considering the elapsed time from the failure-cause (FC) to the system failure. By assuming exponential and case functions for each occurrence and detection time instant, the expected loss corresponding to each FC can be evaluated. As a result of the practical application of the time-dependent probabilistic model through the numerical example, we could reasonably evaluate the risk from the cause of failure in the hierarchical structure in terms of economic loss.
Keywords: FMEA; HTD-FMEA; hierarchical structure; time-dependent probabilistic loss model; expected loss; risk evaluation. FMEA; HTD-FMEA; hierarchical structure; time-dependent probabilistic loss model; expected loss; risk evaluation.
MDPI and ACS Style

Jang, H.-A.; Min, S. Time-Dependent Probabilistic Model for Hierarchical Structure in Failure Mode and Effect Analysis. Appl. Sci. 2019, 9, 4265.

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