Fault diagnosis method and diagnosis system for electric valve actuating mechanism

A technology of actuators and electric valves, applied in neural learning methods, testing of machine/structural components, neural architectures, etc., can solve problems such as inability of diagnostic methods to meet requirements, increased maintenance costs and maintenance cycles, and difficulties in direct monitoring. Achieve good fault identification effect, good convergence and adaptability, and reduce a lot of work

Active Publication Date: 2019-12-03
CHINA PETROLEUM & CHEM CORP +2
View PDF8 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

With the continuous development of industrial technology, the diagnostic method of frequently dismantling the valve actuator is far from meeting the requirements, and it increases the maintenance cost and maintenance cycle
Moreover, traditional methods are difficult to directly monitor valve failures at the initial stage, and detecting early failure signals is meaningful for improving the reliability of the entire system

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Fault diagnosis method and diagnosis system for electric valve actuating mechanism
  • Fault diagnosis method and diagnosis system for electric valve actuating mechanism
  • Fault diagnosis method and diagnosis system for electric valve actuating mechanism

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0031] Such as Figure 1-2 As shown, a fault diagnosis method for an electric valve actuator provided by the present invention specifically includes the following steps:

[0032] S1: Collect data:

[0033] Set the motor controller, motor, and mechanical transmission of the electric valve actuator to install position encoders, torque sensors, current voltmeters, etc., to detect the motor current I, voltage U, and working power P when the valve is working in real time. 工作 , output torque T, coil temperature Υ, stroke percentage α, valve position opening And it is collected into the fault diagnosis processor through the signal acquisition chip, and the acquisition step is 0.2s.

[0034] S2: Establish the evaluation index of the fault state of the electric valve actuator:

[0035] According to the working nature of the electric valve actuator, its fault state is divided into four types, which are normal, subnormal, initial fault, and serious fault. The present invention uses ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention belongs to the technical field of valve fault detection and diagnosis, and particularly relates to a fault diagnosis method and diagnosis system for an electric valve actuating mechanism. The method comprises the following steps of acquiring input and output variables of a BP neural network model by making utocorrelation analysis on the electric valve actuator; training the model toobtain an initialization value of the model; optimizing the model by using a genetic algorithm to obtain an optimal prediction value of the model; and collecting true value of the valve position opening degree of the electric valve actuating mechanism, and finally adopting a residual square between the true value and the predicted value as a fault state index of an electric valve actuating mechanism. According to a working principle of an internal structure of an electric value actuator, the working state is analyzed. The BP network is optimized by utilizing global search optimal characteristic of the genetic algorithm. The defect that the BP algorithm falls into local optimum in learning is avoided. The network has good convergence and adaptability, and the network has a good fault recognition effect.

Description

technical field [0001] The invention belongs to the technical field of valve fault detection and diagnosis, and in particular relates to a fault diagnosis method and a diagnosis system for an electric valve actuator. Background technique [0002] The electric valve actuator has beautiful appearance design, small size, light weight, simple operation, high strength and wear resistance, reliable component quality, high motor performance, non-invasive infrared remote control setting, commutation delay protection, digital limit ( Electronic limit), abnormal protection, high temperature resistance, frequent action and maintenance-free features, are widely favored in practical applications. The operating state of the electric valve actuator directly affects the working performance of the entire electric valve, so it is of great significance to the fault diagnosis of the electric valve actuator. The fault diagnosis mechanism of the traditional electric valve actuator is based on in...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06N3/04G06N3/08G01M13/00
CPCG06N3/084G01M13/00G06N3/044
Inventor 田中山赖少川杨昌群牛道东杨文林元文蒋通明蒋仁华
Owner CHINA PETROLEUM & CHEM CORP
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap