Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Method for optimal maintenance decision-making of hydraulic equipment with risk control

A kind of equipment and optimal technology, applied in the direction of calculation, complex mathematical operations, special data processing applications, etc., can solve the problems of different status, achieve the effect of improving accuracy, speeding up diagnosis, improving accuracy and algorithm efficiency

Active Publication Date: 2013-03-06
天津开发区精诺瀚海数据科技有限公司
View PDF2 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0050] Although the weighted association rules are applied to equipment fault mining and diagnosis, it solves the problems caused by the different status of each component in the equipment.

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
  • Method for optimal maintenance decision-making of hydraulic equipment with risk control
  • Method for optimal maintenance decision-making of hydraulic equipment with risk control
  • Method for optimal maintenance decision-making of hydraulic equipment with risk control

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0134] Example 1: Calculate the probability value of the corresponding potential fault by using the variable weight association rule algorithm DVWAR

[0135] This embodiment uses two methods for analysis, one is the weighted association rule algorithm, and the other is the variable weight association rule algorithm. The same set of data is used in the example, and the final result is obtained through calculation and compared. .

example

[0136] Example: Device M consists of 5 kinds of components, and there are 7 kinds of possible failures. Table 1 is the initial weight of each component, and Table 2 is each fault database, indicating the components that can be traced when a certain fault occurs. Set the minimum support threshold wminsup to 1.

[0137] Table 1. Initial weights of components of equipment M. Table 2. Each fault database of equipment M.

[0138]

[0139]

[0140] 1. Mining using weighted association rules algorithm

[0141] Since the weighted association rule algorithm is only given the weight of each component once in the entire life cycle of the device, the initial weight of each component of device M is constant, that is, the weight of component A is 0.2, and the weight of component B is 0.2. The weight is 0.1, the weight of component C is 0.3, the weight of component D is 0.4, and the weight of component E is 0.8. According to the mining method of weighted association rules, mining is...

Embodiment 2

[0152] Example 2: Obtaining the Consequence Value of Corresponding Faults Using Neural Network Modeling

[0153] In order to illustrate the application of BP neural network in the prediction of failure consequence value, five items of equipment risk value, personal risk value, environmental risk value, social risk value and system risk value are selected as input items, and the output item is the comprehensive evaluation of potential failure consequences. value. Due to the large data, Table 6 lists the learning samples for the prediction of the comprehensive evaluation value of some fault consequences.

[0154] Table 6. Learning samples for the prediction of the comprehensive evaluation value of some fault consequences

[0155]

[0156] In the design of BP neural network, if the number of nodes in the hidden layer of the network is too small, the nonlinear mapping function and fault tolerance of the network will be poor, and the selection of too many nodes will increase th...

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 field of maintenance decision-making of hydraulic equipment, and relates to a method for the optimal maintenance decision-making of hydraulic equipment with risk control. The method mainly comprises three steps: 1) judging whether a system is in a status of defect by using a variable-weight association rule algorithm, if so, calculating the probability values of occurrences of latent faults of the system; 2) calculating the comprehensive evaluation value for the consequence of each latent fault by using a BP neural network; and 3) multiplying the probability values obtained in step 1 by the comprehensive evaluation values obtained in step 2 so as to obtain the VaRs (values-at-risk) of the latent faults, judging whether the VaRs are more than a specified threshold, if so, ranking the VaRs in descending order so as to determine the maintenance sequence; otherwise, returning to the step of monitoring. The method can judge whether a device is in a status of defect, judge the type of the latent fault and calculate the probability values of occurrences of latent faults only through a calculation; and compared with traditional risk maintenance methods, the method of the invention improves the accuracy of fault diagnosis, speeds up the diagnosis speed, and provides a better reference for online decision-making.

Description

technical field [0001] The invention belongs to the field of hydraulic equipment maintenance, and relates to an optimal maintenance calculation method for hydraulic equipment with risk control. Background technique [0002] Hydraulic equipment has the characteristics of complexity, precision, high price and high power. At the same time, the working condition of hydraulic equipment determines the production efficiency and the quality of steel smelting, and its safety and reliability requirements are relatively high. Because the hydraulic components in the hydraulic system work in a closed oil circuit, the flow state of the oil in the pipeline and the condition of the internal parts cannot be directly observed. Therefore, the fault diagnosis of the hydraulic system is more important than the fault diagnosis of general mechanical and electrical equipment. difficulty. It is very important to establish an effective and accurate fault diagnosis and early warning system for the re...

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 Patents(China)
IPC IPC(8): G06F17/15G06F19/00G06N3/02
Inventor 刘晶蔡大勇季海鹏朱清香
Owner 天津开发区精诺瀚海数据科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com