Effective sensor placement based on a VIKOR method considering common cause failure in the presence of epistemic uncertainty

Duan, Rong-Xing; He, Jie-Jun; Feng, Tao; Huang, Shu-Juan; Chen, Li

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Tytuł artykułu

Effective sensor placement based on a VIKOR method considering common cause failure in the presence of epistemic uncertainty

Autorzy

Duan Rong-Xing , He Jie-Jun , Feng Tao , Huang Shu-Juan , Chen Li

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Abstrakty

Owing to expensive cost and restricted structure, limited sensors are allowed to install in modern systems to monitor the working state, which can improve their availability. Therefore, an effective sensor placement method is presented based on a VIKOR algorithm considering common cause failure (CCF) under epistemic uncertainty in this paper. Specifically, a dynamic fault tree (DFT) is developed to build a fault model to simulate dynamic fault behaviors and some reliability indices are calculated using a dynamic evidence network (DEN). Furthermore, a VIKOR method is proposed to choose the possible sensor locations based on these indices. Besides, a sensor model is introduced by using a priority AND gate (PAND) to describe the failure sequence between a sensor and a component. All placement schemes can be enumerated when the number of sensors is given, and the largest system reliability is the best alternative among the placement schemes. Finally, a case study shows that CCF has some influence on sensor placement and cannot be neglected in the reliabilitybased sensor placement.

Słowa kluczowe

dynamic fault tree epistemic uncertainty sensor placement reliability criterion diagnostic sensor model

Wydawca

Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne

Czasopismo

Eksploatacja i Niezawodność

Rocznik

2021

Tom

Vol. 23, no. 2

Strony

253--262

Opis fizyczny

Bibliogr. 44 poz., rys., tab.

Twórcy

autor

Duan Rong-Xing

duanrongxing@ncu.edu.cn

School of Information Engineering, Nanchang University, Nanchang, 330031, P. R. China

autor

He Jie-Jun

411014419018@email.ncu.edu.cn

School of Information Engineering, Nanchang University, Nanchang, 330031, P. R. China

autor

Feng Tao

416114417131@email.ncu.edu.cn

School of Information Engineering, Nanchang University, Nanchang, 330031, P. R. China

autor

Huang Shu-Juan

411014418170@email.ncu.edu.cn

School of Information Engineering, Nanchang University, Nanchang, 330031, P. R. China

autor

Chen Li

411016620088@email.ncu.edu.cn

School of Information Engineering, Nanchang University, Nanchang, 330031, P. R. China

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).

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bwmeta1.element.baztech-83ac0659-322e-4750-83a1-92318e753fd0