Research on fault diagnosis algorithm of gas pressure regulator based on compressed sensing theory

In order to diagnose a fault in gas pressure regulator, this paper presents a new fault diagnosis method based on the compressed sensing theory. The key is to boil down the fault classification into a problem of representing a testing sample as a sparse linear combination of the training samples, and the diagnosis algorithm based on the compressed sensing theory is applied to the gas pressure regulator. Four different fault statuses of the gas pressure regulator were diagnosed by using the 1 classifier. The experimental results showed that the method of using sparse representation can achieve good diagnostic results. The accuracy rate of the classification was 92.8%, the operation time of the diagnosis was 0.5924s, the method is appropriate for the diagnosis of a gas pressure regulator fault with small specimen data.