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所属单位：民航学院

发表刊物：DEFENCE SCIENCE JOURNAL

关键字：Failure propagation Performance degradation Deep belief network DBN Bayesian structural equation model BSEM Reliability analysis

摘要：Failure propagation is a critical factor for the reliability and safety of complex systems. To recognise and identify failure propagation of systems, a deep fusion model based on deep belief network (DBN) and Bayesian structural equation model (BSEM) is proposed. The deep belief network is applied to extract features between status monitoring data and the performance degradation in different failure components. To calculate the path weight of failure propagation, the Bayesian structural equation model is proposed to study the relationship among different fault modes. After getting the performance degradation of each fault through DBN and calculating the path weight of fault propagation by BSEM, it is available to get the overall reliability of the system. The aircraft landing gear system with 19 fault patterns is selected to evaluate the feasibility of the proposed deep fusion model. The results demonstrate that the overall reliability of the system can be obtained by analysing the fault propagation of multiple fault patterns, and the proposed model has a lower deviation than traditional back propagation neural network.

ISSN号：0011-748X

是否译文：否

发表时间：2019-09-01

合写作者：Che, Changchang,Ni, Xiaomei

通讯作者：王华伟