An equipment fault diagnosis method and device based on cloud service

A technology for fault diagnosis and equipment faults, applied in the field of equipment fault diagnosis based on cloud services, which can solve problems such as the surge in the total amount of data, the reduction in the accuracy of data information, and the difficulty in achieving high-accuracy intelligent fault diagnosis for equipment.

Inactive Publication Date: 2019-05-03
GUANGDONG POWER GRID CO LTD +1
View PDF5 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] On the one hand, the use of a large number of automated verification equipment has improved the verification efficiency of metering equipment, but at the same time, it has also caused problems such as a surge in the total amount of data related to equipment operation and maintenance, management difficulties, etc., and presents complex characteristics such as multi-source, multi-dimensional, and heterogeneous. Existing fault diagnosis decisi

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
  • An equipment fault diagnosis method and device based on cloud service
  • An equipment fault diagnosis method and device based on cloud service
  • An equipment fault diagnosis method and device based on cloud service

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0053] The embodiment of the present application provides a cloud service-based equipment fault diagnosis method and device, which are used for the technical problem of low accuracy of existing equipment intelligent fault diagnosis.

[0054] In order to make the purpose, features and advantages of the present application more obvious and understandable, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the following The described embodiments are only some of the embodiments of the present application, but not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.

[0055] see figure 1 , the embodiment of the present application provides a cloud service-based dev...

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 discloses an equipment fault diagnosis method and device based on cloud service, and the method comprises the steps: S1, obtaining a fault diagnosis symptom vector which comprises the operation data of equipment of an automatic verification system in real time based on a cloud storage technology; S2, obtaining a fault vector through fuzzy reasoning operation according to the obtainedfault diagnosis symptom vector; and S3, inputting the fault vector into the trained ELM secondary fault diagnosis model for secondary fault diagnosis to obtain a fault type diagnosis result. The datamanagement performance based on the cloud service is combined with the two-stage fault diagnosis decision-making model composed of fuzzy reasoning and ELM, and the technical problem that the equipment fault diagnosis accuracy of a traditional automatic verification center based on the cloud service is low in complex automatic metering detection system environments of multiple sources, multiple dimensions, heterogeneity and the like is solved.

Description

technical field [0001] The present application relates to the field of equipment intelligent management, in particular to a cloud service-based equipment fault diagnosis method and device. Background technique [0002] Extreme Learning Machine (ELM) is a type of machine learning algorithm designed for Single Layer Feedforward Neuron Network (SLFN). Its main feature is that the hidden layer node parameters can be randomly or artificially given. It is fixed and does not need to be adjusted, and the learning process only needs to calculate the output weight. ELM has the advantages of high learning efficiency and strong generalization ability. [0003] The use of a large number of automated verification equipment has improved the verification efficiency of metering equipment on the one hand, but at the same time it has also caused problems such as a surge in the total amount of data related to equipment operation and maintenance, management difficulties, etc., and presents comp...

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): G06F17/50G06N5/04G06N3/04G06N3/08G06N5/02
Inventor 张永旺党三磊彭策林佳林国营谭跃凯陈亮唐捷黄友朋郑冲
Owner GUANGDONG POWER GRID CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap