A new interpretable fault diagnosis method based on belief rule base and probability table
A new interpretable fault diagnosis method based on belief rule base and probability table作者机构:High-Tech Institute of Xi’anXi’an 710025China School of Computer Science and Information EngineeringHarbin Normal UniversityHarbin 150025China
出 版 物:《Chinese Journal of Aeronautics》 (中国航空学报(英文版))
年 卷 期:2023年第36卷第3期
页 面:184-201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 National Natural Science Foundation of China(No.61833016) the Shaanxi Outstanding Youth Science Foundation,China(No.2020JC-34) the Shaanxi Science and Technology Innovation Team,China(No.2022TD-24) the Natural Science Foundation of Heilongjiang Province of China(No.LH2021F038)
主 题:Aerospace relay Belief rule base Expert knowledge Fault diagnosis Interpretability constraints
摘 要:It is vital to establish an interpretable fault diagnosis model for critical *** Rule Base(BRB)is an interpretable expert system gradually applied in fault ***,the expert knowledge cannot be utilized to establish the initial BRB accurately if there are multiple referential grades in different fault *** addition,the interpretability of BRB-based fault diagnosis is destroyed in the optimization process,which reflects in two aspects:deviation from the initial expert judgment and over-optimization of *** solve these problems,a new interpretable fault diagnosis model based on BRB and probability table,called the BRB-P,is proposed in this *** with the traditional BRB,the BRB-P constructed by the probability table is more ***,the interpretability constraints,i.e.,the credibility of expert knowledge,the penalty factor and the rule-activation factor,are inserted into the projection covariance matrix adaption evolution strategy to maintain the interpretability of BRB-P.A case study of the aerospace relay is conducted to verify the effectiveness of the proposed method.