Probabilistic safety assessment for power transmission and transformation maintenance project based on fault tree analysis and Bayesian network

Huang, Long; Shou-xin, Song; Zhou, Yuhui; Jia, Xu; Qi, Yang; Qian-Hui, He

doi:10.1109/powercon.2014.6993624

2014 International Conference on Power System Technology 2014

DOI: 10.1109/powercon.2014.6993624

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Probabilistic safety assessment for power transmission and transformation maintenance project based on fault tree analysis and Bayesian network

Long Huang

Song Shou-xin

Yuhui Zhou

et al.

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2016

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Probabilistic risk assessment of multi-state systems based on Bayesian networks

Cao

Yin

2016

2016 18th International Conference on Advanced Communication Technology (ICACT)

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Probabilistic approaches are common in the risk assessment of complex engineering systems. Although conventional methods such as fault tree (FT) have been used effectively in probabilistic risk assessment (PRA), they are only suitable to binary-state systems. As an extension of FT, multi-state fault tree (MSFT) is a good way in the model ing of multi-state systems, but it suffers severely limitation of efficient analysis and assess for systems risk, which is of great significance in PRA. Due to the difficulty of risk assessment in the multi-state systems, a new method based on Bayesian networks (BNs) is proposed. The BN model is constructed by converting MSFT and logic operators of the system through a mapping algorithm. Then the calculations of consequence probability and importance degree for each component are proposed based on Bayesian inference. Also, diagnose of failure system states can be achieved by posterior inference of BN. Finally, an example is illustrated to verify the effectiveness and feasibility of the proposed method. . His current research interests include discrete event dynamic systems, Markov decision processes, queuing systems, and network resource management and optimization.Xiaonong Lu received the B.

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Probabilistic risk assessment of multi-state systems based on Bayesian networks

Cao

Yin

2016

2016 18th International Conference on Advanced Communication Technology (ICACT)

View full text Add to dashboard Cite

show abstract

Probabilistic risk assessment of multi-state systems based on Bayesian networks

Cao

Yin

2016

2016 18th International Conference on Advanced Communication Technology (ICACT)

View full text Add to dashboard Cite

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Probabilistic safety assessment for power transmission and transformation maintenance project based on fault tree analysis and Bayesian network

Cited by 2 publications

References 9 publications

Probabilistic risk assessment of multi-state systems based on Bayesian networks

Probabilistic risk assessment of multi-state systems based on Bayesian networks

Probabilistic risk assessment of multi-state systems based on Bayesian networks

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