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

Equipment fault diagnosis method

A diagnostic method and equipment failure technology, applied in the field of equipment operation guarantee, can solve problems such as judgment lag, fault diagnosis deviation, omission, etc., and achieve the effect of improving accuracy and effectiveness, reducing equipment failure rate, and exerting economic benefits

Inactive Publication Date: 2022-04-22
华能沁北发电有限责任公司
View PDF0 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] At present, the early warning and regular inspection diagnosis of operating equipment failures are completely based on the experience of operation and maintenance personnel. However, due to the work experience, working status and individual differences of operation and maintenance personnel, there will be deviations in the diagnosis of faults, and at the same time, personnel flow , Changes in the division of labor lead to the inability to effectively continue the inheritance of the experience value of the operation and maintenance personnel, the cost of trial and error and opportunity cost are in a state of fluctuation, the number of equipment is large, and the energy of the operation and maintenance personnel cannot be fully concentrated, which will also lead to delays in judgment and omissions. Unable to complete advance warning and effective regular inspection decision-making

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
  • Equipment fault diagnosis method
  • Equipment fault diagnosis method
  • Equipment fault diagnosis method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0042] A device fault diagnosis method, it comprises the following steps:

[0043] Step 1: Determine the category, rated parameters, and initial life cycle of the research equipment;

[0044] Step 2: Establish an expert system model rule base according to the characteristics of object categories;

[0045] Step 3: Establish object history database;

[0046] Step 4: Introduce artificial neural network to model high-dimensional nonlinear problems;

[0047] Step 5: use BP neural network to realize fault diagnosis;

[0048] The category of equipment mentioned in step 1 includes machinery, motors, valves, or other equipment, and the rated parameters of the equipment include power, voltage, frequency, speed, temperature, and other rated parameters that affect the use of the equipment;

[0049] The expert system model rule base described in step 2 includes a fault database, a rule base, and a knowledge base; as a useful supplement to the artificial neural network, the RBF neural ne...

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 equipment operation guarantee, and particularly relates to an equipment fault diagnosis method. The method comprises the following steps: determining the category, rated parameters and initial life cycle of research equipment; establishing an expert system model rule base according to object category characteristics; establishing an object historical database; introducing an artificial neural network to model a high-dimensional nonlinear problem; fault diagnosis is realized by using a BP neural network; according to the equipment fault diagnosis method, technologies such as big data and an artificial intelligence algorithm are introduced to digitalize, model and standardize equipment rated parameters, equipment operation conditions, equipment operation and maintenance history and experience and the like, meanwhile, a diagnosis system is endowed with intelligent learning and changing capabilities, and debugging parameters are fed back and corrected according to result output; and finally, the full life cycle state of the equipment is displayed and reflected through a visual platform, and data support is provided for fault early warning, diagnosis analysis and fault maintenance decision, so that the fault rate of the equipment is reduced.

Description

technical field [0001] The invention belongs to the technical field of equipment operation guarantee, and in particular relates to a method for diagnosing equipment faults. Background technique [0002] At present, the early warning and regular inspection diagnosis of operating equipment failures are completely based on the experience of operation and maintenance personnel. However, due to the work experience, working status and individual differences of operation and maintenance personnel, there will be deviations in the diagnosis of faults, and at the same time, personnel flow , Changes in the division of labor lead to the inability to effectively continue the inheritance of the experience value of the operation and maintenance personnel, the cost of trial and error and opportunity cost are in a state of fluctuation, the number of equipment is large, and the energy of the operation and maintenance personnel cannot be fully concentrated, which will also lead to delays in jud...

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): G06F30/27G06N3/04G06N3/08G06F119/06G06F119/08
CPCG06F30/27G06N3/084G06N3/088G06F2119/06G06F2119/08G06N3/048
Inventor 魏岩封光苏方伟彭先敏范慧鹏周伟李星旺
Owner 华能沁北发电有限责任公司
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