A novel combination belief rule base model for mechanical equipment fault diagnosis

作     者：Manlin CHEN Zhijie ZHOU Bangcheng ZHANG Guanyu HU You CAO Manlin CHEN;Zhijie ZHOU;Bangcheng ZHANG;Guanyu HU;You CAO

作者机构：High-Tech Institute of Xi’anXi’an 710025China School of Applied TechnologyChangchun University of TechnologyChangchun 130000China Guangxi Key Laboratory of Trusted SoftwareGuilin University of Electronic TechnologyGuilin 541004China 

出 版 物：《Chinese Journal of Aeronautics》 (中国航空学报（英文版）)

年 卷 期：2022年第35卷第5期

页      面：158-178页

核心收录：

学科分类：08[工学] 082503[工学-航空宇航制造工程] 0825[工学-航空宇航科学与技术] 

基　　金：supported by the Natural Science Foundation of China(Nos.61773388,61751304,61833016,61702142,U1811264 and 61966009) the Shaanxi Outstanding Youth Science Foundation,China(No.2020JC-34) the Key Research and Development Plan of Hainan,China(No.ZDYF2019007) China Postdoctoral Science Foundation(No.2020M673668) Guangxi Key Laboratory of Trusted Software,China(No.KX202050) 

主　　题：Fault diagnosis Belief rule base Directed acyclic graph Evidential reasoning Mechanical equipment 

摘      要：Due to the excellent performance in complex systems modeling under small samples and uncertainty,Belief Rule Base(BRB)expert system has been widely applied in fault ***,the fault diagnosis process for complex mechanical equipment normally needs multiple attributes,which can lead to the rule number explosion problem in BRB,and limit the efficiency and *** solve this problem,a novel Combination Belief Rule Base(C-BRB)model based on Directed Acyclic Graph(DAG)structure is proposed in this *** dispersing numerous attributes into the parallel structure composed of different sub-BRBs,C-BRB can effectively reduce the amount of calculation with acceptable *** the same time,a path selection strategy considering the accuracy of child nodes is designed in C-BRB to obtain the most suitable ***,a fusion method based on Evidential Reasoning(ER)rule is used to combine the belief rules of C-BRB and generate the final *** illustrate the effectiveness and reliability of the proposed method,a case study of fault diagnosis of rolling bearing is conducted,and the result is compared with other methods.