A novel RUL prognosis methodology of multilevel system with cascading failure: Subsea oil and gas transportation systems as a case study-Reference-Cited by-同舟云学术

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A novel RUL prognosis methodology of multilevel system with cascading failure: Subsea oil and gas transportation systems as a case study

Published:2021-12 Issue: Volume:242 Page:110141
ISSN:0029-8018
Container-title:Ocean Engineering
language:en
Short-container-title:Ocean Engineering

Author:

Cai Baoping,Shao Xiaoyan,Yuan Xiaobing,Liu Yonghong,Chen Guoming,Feng Qiang,Liu Yiqi,Ren Yi

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Ocean Engineering,Environmental Engineering

Reference35 articles.

1. Using Bayesian networks in reliability evaluation for subsea blowout preventer control system;Cai;Reliab. Eng. Syst. Saf.,2012

2. A real-time fault diagnosis methodology of complex systems using object-oriented Bayesian networks;Cai;Mech. Syst. Signal Process.,2016

3. A dynamic-Bayesian-network-based fault diagnosis methodology considering transient and intermittent faults;Cai;IEEE Trans. Autom. Sci. Eng.,2017

4. Application of Bayesian networks in reliability evaluation;Cai;IEEE T Ind Inform,2019

5. Remaining useful life estimation of structure systems under the influence of multiple causes: subsea pipelines as a case study;Cai;IEEE Trans. Ind. Electron.,2020

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