DA-RVFLN-based pneumatic control valve domain adaptive fault diagnosis method

A technology for pneumatic control valves and fault diagnosis, applied in valve devices, mechanical valve testing, engine components, etc., can solve problems such as poor performance, large differences in distribution of training data and test data, etc.

Active Publication Date: 2020-11-13
CHINA UNIV OF MINING & TECH
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  • Abstract
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AI Technical Summary

Problems solved by technology

Although the fault types are the same, the distribution of training data and test data is very different
A classifier trained on a specific set of data can achieve high accuracy on similar data, but tends to perform poorly on data that follows another distribution

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  • DA-RVFLN-based pneumatic control valve domain adaptive fault diagnosis method
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  • DA-RVFLN-based pneumatic control valve domain adaptive fault diagnosis method

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Embodiment Construction

[0059] Below in conjunction with accompanying drawing and specific embodiment, further illustrate the present invention, should be understood that these examples are only for illustrating the present invention and are not intended to limit the scope of the present invention, after having read the present invention, those skilled in the art will understand various aspects of the present invention All modifications of the valence form fall within the scope defined by the appended claims of the present application.

[0060] A DA-RVFLN-based field-adaptive fault diagnosis method for pneumatic control valves, such as figure 1 shown, including the following steps:

[0061] A. Collection of process signals

[0062] Install a displacement sensor and a pressure sensor on the top of the screw cap of the pneumatic control valve and at the air supply hole of the air chamber respectively, given a 4-20mA current input signal, and collect the air chamber pressure P(t) and valve stem displac...

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Abstract

The invention discloses a DA-RVFLN-based pneumatic control valve domain adaptive fault diagnosis method, which comprises the steps of firstly, collecting air chamber pressure and valve rod displacement signals in the operation process of a pneumatic control valve through a data collection device; secondly, analyzing the process signal by adopting variational mode decomposition (VMD) and a multi-scale entropy (MSE) method, and extracting fault features; and finally, taking the extracted fault features as input, adopting a domain adaptive random vector function link network (DA-RVFLN) as a classifier, and utilizing the trained classifier to realize domain adaptive fault diagnosis of the pneumatic control valve. The method is advantaged in that relatively high diagnosis precision is acquired,and domain adaptability and generalization of fault diagnosis are improved.

Description

technical field [0001] The invention relates to the field of valve fault detection and diagnosis, in particular to a DA-RVFLN-based fault diagnosis method for the field of pneumatic control valves. Background technique [0002] As the terminal execution equipment of industrial automation control system, pneumatic control valve is widely used in petrochemical, metallurgy, light industry, food and other industries. Its fault detection and diagnosis are related to safety and production. The traditional way of troubleshooting is to check regularly based on experience, which not only wastes a lot of manpower and material resources, but also causes a large number of normal valves to fail due to maintenance and disassembly. How to use the operating process data of the pneumatic control valve to realize fault identification and diagnosis without dismantling is a concern of many engineers. In recent years, many data-driven fault diagnosis methods for pneumatic control valves have be...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01M13/003F16K37/00
CPCG01M13/003F16K37/0083
Inventor 杨春雨陈黎明卜令超王聪周林娜张道明代伟赵建国袁晓光
Owner CHINA UNIV OF MINING & TECH
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