Reliability assessment of man‐machine systems subject to probabilistic common cause errors

The occurrence of probabilistic common cause errors (PCCEs) in man‐machine systems can lead to multiple human errors being affected by common causes and will contribute greatly to the reliability of the system. In this paper, A reliability modeling method based on event tree (ET)‐fault tree (FT) mod...

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Bibliographic Details
Published in:Quality and reliability engineering international Vol. 40; no. 5; pp. 2399 - 2422
Main Authors: Li, Kehui, Guo, Jianbin, Zeng, Shengkui, Che, Haiyang
Format: Journal Article
Language:English
Published: Bognor Regis Wiley Subscription Services, Inc 01.07.2024
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ISSN:0748-8017, 1099-1638
Online Access:Get full text
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Summary:The occurrence of probabilistic common cause errors (PCCEs) in man‐machine systems can lead to multiple human errors being affected by common causes and will contribute greatly to the reliability of the system. In this paper, A reliability modeling method based on event tree (ET)‐fault tree (FT) model for man‐machine systems subjected to PCCEs is proposed. Under the influence of PCCEs, risk factors in the system are not independent, and human errors affected by the same common cause will occur with different probabilities. To describe the dependencies among risk factors, a PCCE gate is proposed to extend FTs in the ET‐FT model. To analyze the impact of common causes on the human error probabilities and quantify the extended FT, an explicit method and an implicit method based on the Cognitive Reliability and Error Analysis Method are proposed. The proposed quantification methods consider the different relationships among multiple common causes in a single model. Finally, the proposed methods are validated in the reliability assessment of the emergency response system under malfunction of the solar wing mechanism.
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ISSN:0748-8017
1099-1638
DOI:10.1002/qre.3544