Feed pump fault detection method based on multiscale principal component analysis

A technology of principal component analysis and fault detection, applied in the direction of instrumentation, design optimization/simulation, calculation, etc., can solve the problems of little research on fault detection technology and detection equipment, and stay in long-term itinerant detection

Active Publication Date: 2018-08-17
JIANGSU FRONTIER ELECTRIC TECH +3
View PDF5 Cites 10 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] For a long time, people have not paid enough attention to important auxiliary equipment such as feed water pu

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
  • Feed pump fault detection method based on multiscale principal component analysis
  • Feed pump fault detection method based on multiscale principal component analysis
  • Feed pump fault detection method based on multiscale principal component analysis

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0078] In order to make the technical means, creative features, goals and effects achieved by the present invention easy to understand, the present invention will be further described below in conjunction with specific embodiments.

[0079] A kind of water pump fault detection method based on multi-scale principal component analysis method (MSPCA) of the present invention, utilizes discrete wavelet transform to decompose the variable data of collection, utilizes principal component analysis method to determine the wavelet coefficient in each scale, and then Select the coefficients greater than a specific threshold to generate a multi-scale model; use the principal component analysis method to model the new statistics, and calculate T respectively 2 Statistics and Q statistics, when one of the statistics exceeds the threshold, a fault alarm is issued. Compared with the traditional statistical method based on a single scale, the present invention extracts more state information ...

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 a feed pump fault detection method based on multiscale principal component analysis. The method comprises the following steps that: utilizing discrete wavelet transform to decompose collected variable data, utilizing a principal component analysis method to determine a wavelet coefficient in each scale, and selecting coefficients which are greater than a specific thresholdvalue to generate a multiscale model; and utilizing the principal component analysis method to carry out modeling on a new statistical amount, independently calculating a T2 statistical amount and a Qstatistical amount, and giving a fault alarm when one statistical amount exceeds the threshold value. By use of the method, the process data of a feed pump is substantially multiscale, and has differences in different time domains and frequency domains. A traditional statistical method based on a single scale can not accurately separate main variables which show a system operation state, and therefore, a multiscale principal component analysis method is selected to carry out feature extraction to improve detection sensitivity.

Description

technical field [0001] The invention relates to a fault detection method of a feed water pump based on multi-scale principal component analysis, and belongs to the technical field of thermal process state detection and fault diagnosis. Background technique [0002] As the capacity of a single unit increases, the impact and economic loss caused by equipment failures are also increasing. Therefore, extremely high requirements are placed on the reliability and safety of each equipment in the power plant. The feedwater pump is one of the important auxiliary machines in the power plant, and the failure of the feedwater pump is also one of the important reasons for the unplanned shutdown of the power plant. Therefore, the early warning of the failure of the feed water pump can detect and help to eliminate the failure in time, and improve the reliability of the unit. [0003] For a long time, people have not paid enough attention to important auxiliary equipment such as feed water...

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): G06F17/50
CPCG06F30/20Y02E60/00
Inventor 帅云峰张友卫孙栓柱李益国刘旭婷董顺曹硕硕王明孟嘉许国强魏威杨晨琛周志兴
Owner JIANGSU FRONTIER ELECTRIC TECH
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