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

Method for constructing industrial equipment fault relationship based on Granger causality verification

A causal relationship, Granger technology, applied in the field of industrial equipment fault relationship construction based on Granger causality verification, can solve the problems of lack of directivity and low accuracy, and achieve clear directivity, improve accuracy, and match high success rate

Inactive Publication Date: 2019-11-26
紫荆智维智能科技研究院(重庆)有限公司
View PDF4 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The method for constructing the fault relationship of industrial equipment based on Granger causality verification provided by the present invention mainly solves the technical problem that the fault relationship is constructed based on the correlation between the operating data of the industrial equipment at the time of operation, which lacks directivity , and the accuracy is not high

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 constructing industrial equipment fault relationship based on Granger causality verification
  • Method for constructing industrial equipment fault relationship based on Granger causality verification
  • Method for constructing industrial equipment fault relationship based on Granger causality verification

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0036] In order to solve the problem of lack of directivity and low accuracy in building fault relationships based on the correlation between operating data of industrial equipment, this embodiment provides an industrial For methods of equipping failure relations, see figure 1 , the method mainly includes the following steps:

[0037] S101. Collect at least two types of operation data of the industrial equipment to be tested, and each type of operation data corresponds to form a piece of time series data in chronological order.

[0038] In this embodiment, the industrial equipment to be tested includes, but is not limited to, an engine. Optionally, the engine includes an internal combustion engine, such as a gasoline engine, a diesel engine, and the like.

[0039] The collection of operation data can be collected by corresponding sensors, including but not limited to speed sensors, temperature sensors, power sensors, pressure sensors, voltage / current sensors and so on. Diff...

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 provides a method for constructing industrial equipment fault relationship based on Granger causality verification, and the method comprises the steps: collecting at least two types of operation data of to-be-tested industrial equipment, and correspondingly forming a piece of time sequence data for each type of operation data according to the time sequence; preprocessing the time series data; verifying the preprocessed pairwise time series data by adopting Granger causality verification; and according to the verification result, constructing a causal relationship pointing graph between two kinds of operation data corresponding to the time series data in pairs to form a fault relationship graph of the to-be-tested industrial equipment. The problem that in fault relationship construction based on industrial equipment at present, accuracy is low and directivity is lacked due to dependence on correlation between the operation data are solved. The scheme determines the causalrelationship between the operation data by utilizing Granger causal relationship verification, the directivity is clear, and the success rate of matching the constructed fault relationship with the actual alarm case is relatively high according to measurement of the actual alarm case.

Description

technical field [0001] The invention relates to the technical field of mechanical fault detection, in particular to a method for constructing fault relations of industrial equipment based on Granger causality verification. Background technique [0002] Using the operating data collected during the operation of industrial equipment to conduct correlation analysis among multiple types of data is a common method for reconstructing the fault relationship of industrial equipment. This type of method mainly collects information such as the temperature and speed of various components during the operation of industrial equipment through sensors, simply calculates the correlation between the two, and establishes the fault relationship between the components with greater correlation. [0003] However, due to the lack of directivity of the correlation itself, the generated failure relationship also has this problem, that is, it is impossible to clearly distinguish the cause and the res...

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
IPC IPC(8): G06F16/28G06F16/901
CPCG06F16/284G06F16/9024
Inventor 邓仰东曹奥王旭阳
Owner 紫荆智维智能科技研究院(重庆)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