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

Method for predicting facility and equipment failure

A technology for equipment failures and facilities, applied in neural learning methods, systems based on fuzzy logic, biological neural network models, etc., can solve problems such as different service life of parts

Inactive Publication Date: 2009-09-23
DA-YEH UNIVERSITY
View PDF0 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] If there are consumable parts in facilities and equipment, they must be repaired or replaced at regular intervals. However, the service life of parts varies depending on the environment and the characteristics of materials

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 predicting facility and equipment failure
  • Method for predicting facility and equipment failure
  • Method for predicting facility and equipment failure

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0015] In this embodiment, the so-called facilities and equipment include facilities, equipment and furniture. Facilities can refer to a building or place to provide specific services or specific industrial purposes; equipment can be required for a job or service tools; furniture can be household appliances, such as tables and chairs, cabinets and so on.

[0016] Please refer to figure 1 , which shows a flow chart of a method for predicting facility and equipment failures according to a preferred embodiment of the present invention. The method 200 for predicting facility and equipment failure includes selecting a specified component (step 210 ). Factors affecting the service life of the specified part are selected, as in step 220 . A fuzzy rule is defined to predict the service life of the specified part, as in step 230 . Establish a fuzzy neural network, such as step 240 . Train the fuzzy neural network, as in step 250. Estimate the possible service life of specified par...

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 predicting facility and equipment failure by using a fuzzy neural network. The method predicts the service life of facility and equipment parts by the importance that historical data automatically adjusts factors influencing the service life through a learning mode of the fuzzy neural network.

Description

technical field [0001] The present invention relates to a method for predicting failures of facilities and equipment, and in particular to a method for predicting failures of facilities and equipment parts using a fuzzy neural network. Background technique [0002] If there are consumable parts in facilities and equipment, they must be repaired or replaced at regular intervals. However, the service life of parts varies depending on the environment and the characteristics of materials. Generally speaking, the service life of parts is affected by some factors of use, and in different situations, the importance of each influencing factor will change. In order to prevent the parts of facilities and equipment from being damaged or exhausted before maintenance, the impact Its proper function, so if it can further proactively predict the time when the parts of the facility equipment may be damaged or exhausted, it can be prevented before it happens. Contents of the invention [...

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): G06N3/08G06N7/02
Inventor 柯千禾
Owner DA-YEH UNIVERSITY
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