@article{cai_novel_2021,
	title = {A novel {RUL} prognosis methodology of multilevel system with cascading failure: {Subsea} oil and gas transportation systems as a case study},
	volume = {242},
	issn = {0029-8018},
	shorttitle = {A novel {RUL} prognosis methodology of multilevel system with cascading failure},
	url = {https://www.sciencedirect.com/science/article/pii/S0029801821014621},
	doi = {10.1016/j.oceaneng.2021.110141},
	abstract = {Cascading failure has a great negative impact on the operation of multilevel systems. Although the frequency of this kind of failure is lower than that of general failure, it may cause outage and considerable human and economic losses. In this paper, a novel modeling methodology of cascading failure based on position importance and function importance is proposed by using dynamic Bayesian networks, and the remaining useful life (RUL) of multilevel systems considering cascading failure is estimated. By detecting the working state of the nodes, the position and function importance of the nodes are determined, and the performance of the next layer of related nodes is calculated. Through calculating iteratively to the last level, the number of failure nodes is finally determined, and the overall performance of the multilevel systems is evaluated. A subsea transportation system with three-level network and four nodes in each level is used to demonstrate the application of the proposed methodology, and the feasibility of the methodology is analyzed. The results show that the RUL of the systems is significantly reduced when considering the cascading failure, which is quite different from the degradation of the non-cascading failure mode.},
	language = {en},
	urldate = {2021-11-08},
	journal = {Ocean Engineering},
	author = {Cai, Baoping and Shao, Xiaoyan and Yuan, Xiaobing and Liu, Yonghong and Chen, Guoming and Feng, Qiang and Liu, Yiqi and Ren, Yi},
	month = dec,
	year = {2021},
	keywords = {Cascading failure, Dynamic Bayesian network, Multilevel systems, Position and function importance, Remaining useful life},
	pages = {110141},
}

{"_id":"Y6KiFGDqiptLtvRTG","bibbaseid":"cai-shao-yuan-liu-chen-feng-liu-ren-anovelrulprognosismethodologyofmultilevelsystemwithcascadingfailuresubseaoilandgastransportationsystemsasacasestudy-2021","author_short":["Cai, B.","Shao, X.","Yuan, X.","Liu, Y.","Chen, G.","Feng, Q.","Liu, Y.","Ren, Y."],"bibdata":{"bibtype":"article","type":"article","title":"A novel RUL prognosis methodology of multilevel system with cascading failure: Subsea oil and gas transportation systems as a case study","volume":"242","issn":"0029-8018","shorttitle":"A novel RUL prognosis methodology of multilevel system with cascading failure","url":"https://www.sciencedirect.com/science/article/pii/S0029801821014621","doi":"10.1016/j.oceaneng.2021.110141","abstract":"Cascading failure has a great negative impact on the operation of multilevel systems. Although the frequency of this kind of failure is lower than that of general failure, it may cause outage and considerable human and economic losses. In this paper, a novel modeling methodology of cascading failure based on position importance and function importance is proposed by using dynamic Bayesian networks, and the remaining useful life (RUL) of multilevel systems considering cascading failure is estimated. By detecting the working state of the nodes, the position and function importance of the nodes are determined, and the performance of the next layer of related nodes is calculated. Through calculating iteratively to the last level, the number of failure nodes is finally determined, and the overall performance of the multilevel systems is evaluated. A subsea transportation system with three-level network and four nodes in each level is used to demonstrate the application of the proposed methodology, and the feasibility of the methodology is analyzed. The results show that the RUL of the systems is significantly reduced when considering the cascading failure, which is quite different from the degradation of the non-cascading failure mode.","language":"en","urldate":"2021-11-08","journal":"Ocean Engineering","author":[{"propositions":[],"lastnames":["Cai"],"firstnames":["Baoping"],"suffixes":[]},{"propositions":[],"lastnames":["Shao"],"firstnames":["Xiaoyan"],"suffixes":[]},{"propositions":[],"lastnames":["Yuan"],"firstnames":["Xiaobing"],"suffixes":[]},{"propositions":[],"lastnames":["Liu"],"firstnames":["Yonghong"],"suffixes":[]},{"propositions":[],"lastnames":["Chen"],"firstnames":["Guoming"],"suffixes":[]},{"propositions":[],"lastnames":["Feng"],"firstnames":["Qiang"],"suffixes":[]},{"propositions":[],"lastnames":["Liu"],"firstnames":["Yiqi"],"suffixes":[]},{"propositions":[],"lastnames":["Ren"],"firstnames":["Yi"],"suffixes":[]}],"month":"December","year":"2021","keywords":"Cascading failure, Dynamic Bayesian network, Multilevel systems, Position and function importance, Remaining useful life","pages":"110141","bibtex":"@article{cai_novel_2021,\n\ttitle = {A novel {RUL} prognosis methodology of multilevel system with cascading failure: {Subsea} oil and gas transportation systems as a case study},\n\tvolume = {242},\n\tissn = {0029-8018},\n\tshorttitle = {A novel {RUL} prognosis methodology of multilevel system with cascading failure},\n\turl = {https://www.sciencedirect.com/science/article/pii/S0029801821014621},\n\tdoi = {10.1016/j.oceaneng.2021.110141},\n\tabstract = {Cascading failure has a great negative impact on the operation of multilevel systems. Although the frequency of this kind of failure is lower than that of general failure, it may cause outage and considerable human and economic losses. In this paper, a novel modeling methodology of cascading failure based on position importance and function importance is proposed by using dynamic Bayesian networks, and the remaining useful life (RUL) of multilevel systems considering cascading failure is estimated. By detecting the working state of the nodes, the position and function importance of the nodes are determined, and the performance of the next layer of related nodes is calculated. Through calculating iteratively to the last level, the number of failure nodes is finally determined, and the overall performance of the multilevel systems is evaluated. A subsea transportation system with three-level network and four nodes in each level is used to demonstrate the application of the proposed methodology, and the feasibility of the methodology is analyzed. The results show that the RUL of the systems is significantly reduced when considering the cascading failure, which is quite different from the degradation of the non-cascading failure mode.},\n\tlanguage = {en},\n\turldate = {2021-11-08},\n\tjournal = {Ocean Engineering},\n\tauthor = {Cai, Baoping and Shao, Xiaoyan and Yuan, Xiaobing and Liu, Yonghong and Chen, Guoming and Feng, Qiang and Liu, Yiqi and Ren, Yi},\n\tmonth = dec,\n\tyear = {2021},\n\tkeywords = {Cascading failure, Dynamic Bayesian network, Multilevel systems, Position and function importance, Remaining useful life},\n\tpages = {110141},\n}\n\n\n\n","author_short":["Cai, B.","Shao, X.","Yuan, X.","Liu, Y.","Chen, G.","Feng, Q.","Liu, Y.","Ren, Y."],"key":"cai_novel_2021","id":"cai_novel_2021","bibbaseid":"cai-shao-yuan-liu-chen-feng-liu-ren-anovelrulprognosismethodologyofmultilevelsystemwithcascadingfailuresubseaoilandgastransportationsystemsasacasestudy-2021","role":"author","urls":{"Paper":"https://www.sciencedirect.com/science/article/pii/S0029801821014621"},"keyword":["Cascading failure","Dynamic Bayesian network","Multilevel systems","Position and function importance","Remaining useful life"],"metadata":{"authorlinks":{}},"html":""},"bibtype":"article","biburl":"https://bibbase.org/zotero/mh_lenguyen","dataSources":["XJ7Gu6aiNbAiJAjbw","XvjRDbrMBW2XJY3p9","3C6BKwtiX883bctx4","5THezwiL4FyF8mm4G","RktFJE9cDa98BRLZF","qpxPuYKLChgB7ox6D","PfM5iniYHEthCfQDH","SZvSgtLYdBsPSQ3NM","iwKepCrWBps7ojhDx"],"keywords":["cascading failure","dynamic bayesian network","multilevel systems","position and function importance","remaining useful life"],"search_terms":["novel","rul","prognosis","methodology","multilevel","system","cascading","failure","subsea","oil","gas","transportation","systems","case","study","cai","shao","yuan","liu","chen","feng","liu","ren"],"title":"A novel RUL prognosis methodology of multilevel system with cascading failure: Subsea oil and gas transportation systems as a case study","year":2021}