Operational reliability analysis of remote operated vehicle based on dynamic Bayesian network synthesis method

Chuan Wang, Song Yuan, Chao Yu, Xin Deng, Qiufan Chen and Liang Ren

Journal of Risk and Reliability, 2025, vol. 239, issue 1, 162-181

Abstract: In this study, we propose a reliability framework that combines the GO method with fault tree analysis and integrates human factor reliability analysis. Taking the application of remotely operated vehicle (ROV) in underwater oil and gas production as an example, a reliability model of ROV operation process is established. The human reliability in the ROV operation process is analyzed on the basis of Cognitive Reliability and Error Analysis Method (CREAM) extension approach. The influence of human factor reliability and equipment reliability on the system is compared and analyzed. The importance of each operation step is also compared and analyzed. A sensitivity analysis of the ROV during operation is performed. This study provides a theoretical basis for the improvement and maintenance of the operational reliability of ROV. The proposed reliability modeling approach solves the reliability analysis problem of large and complex operating systems.

Keywords: ROV; operational reliability; dynamic Bayesian network; CREAM; human factor analysis (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:sae:risrel:v:239:y:2025:i:1:p:162-181

DOI: 10.1177/1748006X231211998

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