Coal mill operation fault identification method and application

A technology for operating faults and identification methods, applied in general control systems, instruments, electrical testing/monitoring, etc., can solve the problems of low accuracy of identification methods and high dependence on sample data, and achieve high early warning accuracy, simple model structure, and dependence. small effect

Active Publication Date: 2020-06-19
CHINA DATANG CORP SCI & TECH RES INST CO LTD EAST CHINA BRANCH +1
View PDF4 Cites 14 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The technical problem to be solved by the present invention is to provide a method that can identify whether there is a fault in the coal mill according to the operating parameters, so as to overcome the problems of low accuracy and high dependence on sample data in the identification method of the prior art

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
  • Coal mill operation fault identification method and application
  • Coal mill operation fault identification method and application
  • Coal mill operation fault identification method and application

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0056] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with specific embodiments and with reference to the accompanying drawings.

[0057] Such as figure 1 As shown, this embodiment provides a coal mill operation fault identification method,

[0058] Specifically include the following steps:

[0059] Step A: Collect the fault type and the historical operating parameters in a period of time before and after the operation of the coal mill;

[0060] If there are N types of faults in the coal mill, expressed as G={g n |n∈[1,N]}, the coal mill produces g n type of fault, collect the total M in a period of time before and after the fault n The set of operating parameters is used as sample data, and the set of sample data is represented as X n ={X n,m |m∈[1,M n ]},n∈[1,N], where Indicates that each group of sample data includes I operating parameter...

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 coal mill operation fault identification method. The coal mill operation fault identification method comprises the following steps: acquiring historical operation parameters of coal mill operation faults and corresponding fault types; standardizing the historical operation parameters; constructing a PCA (Principal Component Analysis) model and a corresponding T2 statisticmodel for the historical operating parameters corresponding to each fault type, and determining an early warning threshold of the fault; and substituting the to-be-identified parameters into T2 statistic models corresponding to different faults, and if the to-be-identified parameters exceed an early warning threshold, determining that a corresponding fault type exists. The invention further provides a coal mill operation detection system applying the method, and faults and reasons are rapidly determined by calculating real-time operation parameters and comparing the real-time operation parameters with early warning thresholds. The invention has the advantages that the contribution of the parameter to the abnormal reason is analyzed, so that the dependence on historical sample data is reduced; the recognition precision is improved; and online real-time monitoring and analysis of the running state are realized in combination with a monitoring model, so that the production safety is improved.

Description

technical field [0001] The invention relates to the technical field of thermal power generation, in particular to a coal mill operation fault identification method and its application. Background technique [0002] The coal mill is one of the main equipment of the thermal power unit. Common types of coal mill failures include excessive coal in the coal mill, less coal in the coal mill, coal blocking in the coal mill, etc. The failure of the coal mill equipment will seriously affect the thermal power unit. The safe and economical operation of the coal mill may even cause accidents such as serious equipment damage and personal injury; therefore, it is necessary to realize real-time monitoring of the operating status of the coal mill. [0003] Compared with real-time monitoring, it is a more urgent technical problem to realize effective early warning of coal mill operation failure; most of the existing technologies still rely on power plant operators to judge whether there is a...

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): G05B23/02
CPCG05B23/0243G05B2219/24065
Inventor 雷志伟张兴武海澄张剑庄义飞江溢洋周海雁李达曲晓荷刘后胜
Owner CHINA DATANG CORP SCI & TECH RES INST CO LTD EAST CHINA BRANCH
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