Modeling of BN Lifetime Prediction of a System Based on Integrated Multi-Level Information

Sensors

Xiaohong Wang¹  Jingbin Wang¹  Lizhi Wang² 

[1] School of Reliability and Systems Engineering, Beihang University, Beijing 100191, China;Unmanned System Institute, Beihang University, Beijing 100191, China;

关键词: multi-level system;    lifetime prediction;    Bayesian Networks;    multi-sensor information integration;    complex logical correlation;   

DOI  :  10.3390/s17092123

来源: DOAJ

【 摘 要 】

Predicting system lifetime is important to ensure safe and reliable operation of products, which requires integrated modeling based on multi-level, multi-sensor information. However, lifetime characteristics of equipment in a system are different and failure mechanisms are inter-coupled, which leads to complex logical correlations and the lack of a uniform lifetime measure. Based on a Bayesian network (BN), a lifetime prediction method for systems that combine multi-level sensor information is proposed. The method considers the correlation between accidental failures and degradation failure mechanisms, and achieves system modeling and lifetime prediction under complex logic correlations. This method is applied in the lifetime prediction of a multi-level solar-powered unmanned system, and the predicted results can provide guidance for the improvement of system reliability and for the maintenance and protection of the system.

【 授权许可】

Unknown