Optimal configuration method of sensors in fault diagnosis system based on quantitative structural model

Abstract

The invention relates to a fault diagnosis system sensor optimal configuration method based on a quantitative structure model. The method comprises the following steps: 1) establishing a structure model of a fault diagnosis system through a structure analysis method, wherein the structure model is represented by two matrixes, that is an analytical redundant relation matrix and a fault feature matrix, and the structure model can qualitatively describe the fault diagnosis system; 2) detecting nondeterminacy with the structure model of the fault diagnosis system and sensors being combined to obtain quantitative description of the fault diagnosis system and realize the purpose of quantitatively analyzing the fault diagnosis system, and establishing a calculation formula for fault diagnosis system key performance indicators with the detection of nondeterminacy being taken into consideration; 3) establishing a sensor optimization model of the fault diagnosis system; and 4) solving the optimization model through a genetic algorithm. The sensor optimal configuration method for the fault diagnosis system can effectively save the cost of the sensors of the fault diagnosis system, and the configuration result accords with engineering practice situations better.

Description

technical field [0001] The invention belongs to the technical field of fault diagnosis, and relates to a method for optimizing sensor configuration of a fault diagnosis system based on a quantitative structure model, in particular to a fault diagnosis system based on analytic redundancy relationships. Background technique [0002] If there is a failure during the operation of the system, it may cause catastrophic consequences in terms of economy, product quality and safety, and cause serious losses. In order to monitor and isolate these abnormal system states, the fault diagnosis system becomes more and more important. Model-based fault diagnosis systems usually require sensors to measure important parameters of the system to extract useful fault information. Therefore, the performance of the fault diagnosis system largely depends on the configuration of the sensors. [0003] The problem of sensor optimal configuration is the basis of fault diagnosis system, and it is very...

AI Technical Summary

Problems solved by technology

At present, in the field of fault diagnosis system based on analytic redundancy relationship, there is no invention report on the optimal configuration method of sensors considering the detection uncertainty.

Images