基于高斯模型和 RMSD-DS 的火炮反后坐装置故障诊断方法

To deal with the problem of low reliability of fault diagnosis caused by the ambiguity and high conflict of the state signal of the anti-recoil device of the gun under variable operating conditions, a fault diagnosis method based on the Gaussian model and RMSD (Root Mean Square Deviation)-DS (Dempster-Shafer) is proposed to realize the quantitative characterization of signal fuzziness and the high reliability diagnosis of high-conflict evidence fusion. This method uses the Gaussian model to solve the basic probability assignment of the evidence corresponding to multiple fault feature signals of the anti-recoil device, thus realizing the quantitative characterization of the signal ambiguity. By constructing the RMSD-DS conflict coefficient to solve the similarity between evidences, the importance of each evidence is defined according to the similarity, and the quantitative description of the importance of each evidence in the fusion process is realized. The weight solution and evidence fusion method based on the importance of evidence are put forward to realize the reliable fusion of highly conflicting evidence. The application of simulation test data shows that the proposed method has higher accuracy and robustness than other representative methods.