Fault Diagnosis Reasoning Algorithm Based on Multi-signal Model

Liu Li-Jia,Sun Hui-Xian,Hu Jian-Wang,J Heled,A Yuan

doi:10.1051/matecconf/201817303022

Abstract

The multi-signal model is modeled in the fault space and combines the structural model and the dependent model of the system. The modeling work is easy to implement in different layers and is very suitable for fault modeling and fault diagnosis of the Command and control system. After the model is established, how to meet the requirements of fault coverage and fault isolation rate, fault diagnosis reasoning algorithm is particularly important. The system dependency matrix is obtained by establishing a multi-signal model. Based on this, the fault diagnosis reasoning algorithm is studied. The fault diagnosis of Apollo spacecraft before launch is taken as an example to verify the effectiveness of fault diagnosis inference algorithm based on multi-signal model.

Highlights

With the progress of manufacturing technology, the space utilization rate is increasing day by day
The method is validated by taking the fault diagnosis of Apollo spacecraft as an example
TEAMS[3](testability engineering and maintenance system). It has the following characteristics [4,5]: (1) Multi-signal model in the form of structural model is based on the coverage of the dependent model

Summary

Introduction

With the progress of manufacturing technology, the space utilization rate is increasing day by day. The integration and miniaturization have become the development trends of accusation equipment. This largely limits the access of test points. The increasing failure modes of equipment, and the decrease of accessibility of monitoring points lead to the decrease of equipment observability. These two aspects make fault diagnosis of accusing equipment more and more challenging[1]. Based on the multi-signal model method, this paper generates the correlation matrix and performs fault diagnosis reasoning. The method is validated by taking the fault diagnosis of Apollo spacecraft as an example

The characteristics of multi-signal model

Fault diagnosis flow based on multi-signal model

Multi-signal model matrix representation

Conclusion