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The Gas Regulator Fault Diagnosis Based on PCA-GRA Combined Algorithm

In the production and operation process of gas companies, there is generally a large safety margin from spare parts, spare parts to the complete replacement of the regulator, which makes the cost of production and operation and maintenance remain high. The gas pressure regulator, which is the most important key equipment of the gas transmission and distribution system, also needs to implement online fault diagnosis to reduce operation and maintenance costs. This paper first uses the principal component analysis (PCA) method to reduce the fault data of the regulator, and then uses the grey relation analysis method (GRA) to classify the fault data obtained after the reduction. Simulation results show that the PCA-GRA based fault diagnosis recognition rate of gas regulators is high, which lays a theoretical foundation for subsequent applications.