A status assessment model for dynamic system based on cloud evidence reasoning

In order to ensure the safe and efficient operation of dynamic system in engineering practice, solve the common problems such as nonlinearity, timeliness and uncertainty in realtime status tracking during system operation. This paper studies a status assessment model for dynamic system based on clou...

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Bibliographic Details
Published inIECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society Vol. 1; pp. 3731 - 3736
Main Authors Cheng, Chao, Wang, Jiuhe, Fu, Caixin, Zhang, Bangcheng
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2019
Subjects
Cloud evidence reasoning
Cognition
Dynamic system
Erbium
Reliability
Sensor phenomena and characterization
Status assessment
Uncertain information
Uncertainty
Vehicle dynamics
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Summary:In order to ensure the safe and efficient operation of dynamic system in engineering practice, solve the common problems such as nonlinearity, timeliness and uncertainty in realtime status tracking during system operation. This paper studies a status assessment model for dynamic system based on cloud evidence reasoning. Based on the traditional evidence reasoning model, cloud model is introduced to enhance the description ability of expert knowledge in the model. Considering the operating environment of dynamic system in engineering practice, the uncertainty information in operating process is described and quantified by defining static reliability and dynamic reliability. Finally, the effectiveness and correctness of the method are verified by the High-Speed train running gear system.
ISSN:2577-1647
DOI:10.1109/IECON.2019.8927333