A fault diagnosis method for the HIPPS of FPSO unit based on dynamic Bayesian network

Yu Han, Jianxing Yu, Chuan Wang, Xiaobo Xie, Chao Yu and Yupeng Liu

Journal of Risk and Reliability, 2023, vol. 237, issue 4, 752-764

Abstract: The high integrity pressure protection system (HIPPS) on the Floating Production Storage and Offloading (FPSO) unit is essential for handling various emergencies. However, if the location of the fault cannot be accurately identified, proper measures may not be taken to isolate the hazard. This paper presents a fault diagnosis method for HIPPS on FPSO units based on Dynamic Bayesian network (DBN). The method considers the influence of sensor and system equipment degradation on the diagnosis results and avoids the problem of overdiagnosis in static diagnosis networks. Six fault diagnosis cases of the system are analyzed and discussed to verify the accuracy and effectiveness of the proposed method. By changing the failure rate of the faulty component, it is determined that the posterior probability of the faulty component increases with the increase of the failure rate at the same time.

Keywords: Fault diagnosis; floating production storage and offloading; dynamic Bayesian network; high integrity pressure protection system; sensitivity analysis (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:sae:risrel:v:237:y:2023:i:4:p:752-764

DOI: 10.1177/1748006X221109347

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