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

Health degree assessment method and system for equipment under multiple modes based on cross entropy method

A cross-entropy, multi-mode technology, applied in special data processing applications, instruments, electrical and digital data processing, etc., can solve problems such as the inability to accurately assess equipment health under multi-mode, and achieve the goal of preventing overfitting and improving accuracy. Effect

Active Publication Date: 2017-07-07
HANGZHOU ANMAISHENG INTELLIGENT TECH CO LTD
View PDF3 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In order to overcome the problem that the existing technology cannot accurately evaluate the health of equipment under multiple modes, the present invention provides a method and system for evaluating the health of equipment under multiple modes based on the cross-entropy method

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
  • Health degree assessment method and system for equipment under multiple modes based on cross entropy method
  • Health degree assessment method and system for equipment under multiple modes based on cross entropy method
  • Health degree assessment method and system for equipment under multiple modes based on cross entropy method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 2

[0091] In order to verify the effectiveness of the cross-entropy method-based multi-mode device health assessment method, this embodiment verifies by means of simulation.

[0092] Table 1 gives the parameters of three known Gaussian mixture models GMM1, GMM2 and GMM3. Figure 5 The outlines of the three Gaussian mixed-mode probability density functions projected on the two-dimensional plane are intuitively drawn, and it can be seen that each model is composed of four single modes.

[0093]

[0094]

[0095] Table 1

[0096] From Table 1 and Figure 5 It can be seen that GMM2 has a certain degree of deviation from GMM1, and GMM3 has a more serious deviation from GMM1. Assuming that GMM1 is a healthy Gaussian mixture model, GMM2 and GMM3 can be regarded as running Gaussian mixture models when equipment or components begin to experience certain decline and severe decline.

[0097] In step S1, three sets of data are randomly generated using three known healthy Gaussian mi...

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 health degree assessment method and system for equipment under multiple modes based on a cross entropy method. The method comprises the steps that health data and operating data of the equipment or a component in the equipment are acquired; feature extraction is performed on the acquired health data and operating data to form a health feature database and an operating feature database; the number of Gaussian modes in a Gaussian mixed model is determined by the adoption of the cross entropy method according to the data in the health feature database; a health Gaussian mixed model is established according to the data in the health feature database and the determined number of Gaussian modes, and an operating Gaussian mixed model is established according to the operating feature database and the determined number of Gaussian modes; the coincidence degree of the health Gaussian mixed model and the operating Gaussian mixed model under multiple modes is calculated; and the health degree of the equipment or the component is assessed according to the coincidence degree obtained through calculation.

Description

technical field [0001] The invention relates to the field of life prediction and health management of equipment, in particular to a method and system for evaluating the health of equipment in multiple modes based on a cross-entropy method. Background technique [0002] With the rapid development of modern intelligent manufacturing, the structure, function and operating environment of equipment (such as industrial robots) are becoming more and more complex, and the burden of production tasks and economic affordability requirements are also getting higher and higher. Due to the lack of timely understanding and mastery of the equipment health status, the traditional after-event maintenance and regular maintenance methods make maintenance management lack of comprehension, pertinence and scientificity. Therefore, it is of great significance to explore and study reliable equipment health status assessment methods for modern manufacturing. [0003] At present, the main methods of ...

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): G06F19/00
CPCG16Z99/00
Inventor 吴芳基李杰倪军
Owner HANGZHOU ANMAISHENG INTELLIGENT TECH CO LTD
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