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

Multi-index monitoring oil liquid uncertainty state characterization and fault diagnosis method

A fault diagnosis and multi-indicator technology, applied in the field of oil state monitoring, can solve the problems of difficult diagnosis of oil faults and inaccurate results

Active Publication Date: 2020-10-27
XI AN JIAOTONG UNIV
View PDF9 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In order to overcome the defects of the above-mentioned prior art, the purpose of the present invention is to propose a multi-indicator monitoring oil uncertainty state characterization and fault diagnosis method, which classifies the oil monitoring index data according to different attribute categories, and applies expert knowledge , establish the corresponding inference rule base, and apply the fuzzy inference system FIS method to realize the quantitative representation of the oil state. , overcoming the problems of inaccurate oil state monitoring results and difficult diagnosis of oil faults in traditional oil monitoring methods

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
  • Multi-index monitoring oil liquid uncertainty state characterization and fault diagnosis method
  • Multi-index monitoring oil liquid uncertainty state characterization and fault diagnosis method
  • Multi-index monitoring oil liquid uncertainty state characterization and fault diagnosis method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0060] The present invention will be further described below in conjunction with the accompanying drawings.

[0061] The indicators of oil state monitoring can be classified into the physical and chemical state of lubricating oil, the state of additives, the state of pollutants and the wear state reflected in the oil caused by wear and tear of components according to the different objects of action, corresponding to the indicators {x 11 ,x 12 ,...x ij ,...} and properties {H 1 ,H 2 ,...,H c ...,H N}. Such as figure 1 As shown, the oil monitoring data is classified, including index layer, attribute layer, and status layer. The index layer is the obtained oil index monitoring data, and the attribute layer includes physical and chemical attributes, additive attributes, pollutant attributes and component wear. The properties of abrasive particles reflected in the flow of abrasive debris into the oil, the status layer is represented by the value of [0,1] to indicate the fail...

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 relates to a multi-index monitoring oil liquid uncertainty state representation and fault diagnosis method, which comprises the following steps of normalizing oil liquid monitoring dataof an index layer by collecting oil liquid data and applying a linear interpolation method; evaluating the data of the index layer by applying a fuzzy evaluation method, and enabling the data of the index layer to correspond to the attribute state of the attribute layer; establishing a fuzzy rule base according to expert knowledge, conducting fuzzy reasoning on the attribute state, and achieving quantitative characterization of the oil state; according to the set judgment threshold value, diagnosing whether the equipment has a fault or not. The method has the advantages that through quantitative characterization of the oil state, the problems that in a traditional oil monitoring method, the oil state monitoring result is inaccurate, and oil faults are difficult to recognize are solved.

Description

technical field [0001] The invention belongs to the technical field of oil state monitoring, and in particular relates to a multi-indicator monitoring oil uncertain state characterization and fault diagnosis method. Background technique [0002] As the "blood" of the equipment transmission system, oil is the core guarantee for the lubrication of all moving pairs, heat dissipation and cooling, and plays a decisive role in the power transmission of the equipment and the life of the components. Oil monitoring is to provide equipment status information by monitoring the comprehensive information of the continuous operation of the friction system lubricating oil, which is a comprehensive characterization of multi-index information. Therefore, it is of great significance to monitor the multiple indicators of the oil to obtain the comprehensive information of the oil and complete the fault diagnosis. [0003] There are many kinds of indicators for oil monitoring, including the phy...

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): G06N5/04G06K9/62G06Q10/06
CPCG06N5/048G06Q10/06393G06F18/2415
Inventor 武通海李博潘燕
Owner XI AN JIAOTONG UNIV
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