Baoping Cai

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Keywords: Dynamic Bayesian networks Fault tree Imperfect repair Subsea blowout preventer Reliability Availability a b s t r a c t This paper presents a quantitative reliability and availability evaluation method for subsea blowout pre-venter (BOP) system by translating fault tree (FT) into dynamic Bayesian networks (DBN) directly, taking account of(More)
A multi-source information fusion based fault diagnosis methodology is proposed. The diagnosis model is obtained by combining two proposed Bayesian networks. The proposed model can increase the fault diagnostic accuracy for single fault. The model can correct the wrong results for multiple-simultaneous faults. a b s t r a c t In order to increase the(More)
This paper proposes a fault diagnosis methodology for a gear pump based on the ensemble empirical mode decomposition (EEMD) method and the Bayesian network. Essentially, the presented scheme is a multi-source information fusion based methodology. Compared with the conventional fault diagnosis with only EEMD, the proposed method is able to take advantage of(More)
The work presents a dynamic Bayesian networks (DBN) modeling of series, parallel and 2-out-of-3 (2oo3) voting systems, taking account of common-cause failure, imperfect coverage, imperfect repair and preventive maintenance. Seven basic events of one, two or three component failure are proposed to model the common-cause failure of the(More)
In this paper, a novel approach of developing the Bayesian network for fault diagnosis based on operation procedures is presented. The proposed Bayesian network consists of operation procedure layer, fault layer and fault symptom layer. First, operation procedure layer containing procedure nodes and state decision nodes is developed. Second, the fault layer(More)
Engineering ceramics have been widely used in modern industry for their excellent physical and mechanical properties, and they are difficult to machine owing to their high hardness and brittleness. Electrical discharge machining (EDM) is the appropriate process for machining engineering ceramics provided they are electrically conducting. However, the(More)
Reliability analysis of the electrical control system of a subsea blowout preventer (BOP) stack is carried out based on Markov method. For the subsea BOP electrical control system used in the current work, the 3-2-1-0 and 3-2-0 input voting schemes are available. The effects of the voting schemes on system performance are evaluated based on Markov models.(More)