Solenoid valve fault diagnosis device based on feature extraction and multilayer perceptron and method

Abstract

The invention discloses a solenoid valve fault diagnosis device based on feature extraction and a multilayer perceptron and method. The method comprises the following steps: starting current and working voltage are acquired in view of solenoid valve training samples, the response time of the starting current, the stabilization time, the local maximum, the local maximum integral, the local minimumand the local minimum integral are extracted, and together with the working voltage, eigenvectors are formed; with the eigenvectors of the solenoid valve training samples as input and with a fault type as output, the multilayer perceptron is trained, and a solenoid valve fault diagnosis model is obtained; and the eigenvector of a to-be-detected solenoid valve is acquired based on the same method of acquiring the eigenvector of the solenoid valve training sample, the eigenvector is inputted to the solenoid valve fault diagnosis model, and the solenoid valve fault diagnosis model performs faultdetection on the to-be-detected solenoid valve. The solenoid valve eigenvector can better explain the starting current waveform of the electromagnetic valve and enhance the accuracy of the diagnosis of the electromagnetic valve fault, and can be widely applied to the fault diagnosis of the electromagnetic valve.

Description

technical field [0001] The invention belongs to the field of electromagnetic valve fault detection, in particular to a device and method for electromagnetic valve fault diagnosis based on feature extraction and multi-layer perceptron. Background technique [0002] In the gradually automated and intelligent mechanical system, most of the control commands are realized through the on-off of various solenoid valves. In order to execute control commands accurately and effectively, the fault diagnosis of various solenoid valves has attracted extensive attention from researchers and engineers at home and abroad. [0003] Although the traditional mechanism-based solenoid valve fault diagnosis method can basically realize the fault diagnosis of the solenoid valve, its diagnosis method needs to fully analyze the physical mechanism of the solenoid valve switching process, and it is difficult to establish an accurate mechanism for the complex system of the solenoid valve. Model. And t...

AI Technical Summary

Problems solved by technology

[0004] In order to solve the high difficulty of mechanism-based modeling in traditional solenoid valve fault diagnosis and the feature redundancy and uninterpretable feature based on data modeling in new solenoid valve fault diagnosis, the present invention provides a feature extraction and multi- The fault diagnosis device and method of the layer perceptron are simpler and more convenient for the fault diagnosis of the solenoid valve, and the accuracy is high

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