Chapter
Jul 2, 2019
Fault Prediction of Metro Door System Based on Bayesian Network
Authors: Yongneng Xu [email protected], Yuchao Ren [email protected], and Qiao Qiao [email protected]Author Affiliations
Publication: CICTP 2019
Abstract
With the development of subways, safety of subways requires equipment for fault diagnosis technology. This paper briefly expounds on the construction principle of Bayesian network and the propagation and update of network beliefs and elaborates the process of transforming fault tree to Bayesian network, including the mapping relationship between nodes and events and the mapping relationship of logic gates. Finally, the fault tree of the subway door system is established, and the fault tree is transformed into the faulty Bayesian network model. The case analysis of the Bayesian network accurate reasoning theory based on the junction tree algorithm is carried out.
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Published In
CICTP 2019
Pages: 1997 - 2008
Copyright
© 2019 American Society of Civil Engineers.
History
Published online: Jul 2, 2019
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Authors
Affiliations
Dept. of Traffic Engineering, Nanjing Univ. of Science and Technology, No. 200 Xiaoling Wei St., Nanjing, Jiangsu 210094, P.R. China. E-mail: [email protected]
Dept. of Traffic Engineering, Nanjing Univ. of Science and Technology, No. 200 Xiaoling Wei St., Nanjing, Jiangsu 210094, P.R. China. E-mail: [email protected]
Dept. of Traffic Engineering, Nanjing Univ. of Science and Technology, No. 200 Xiaoling Wei St., Nanjing, Jiangsu 210094, P.R. China. E-mail: [email protected]
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ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.
Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.