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

Power distribution switch mechanical fault feature extraction method based on CEEMDAN and weighted time-frequency entropy

A technology of mechanical failure and power distribution switch, which is applied in the field of distribution network, can solve the problems of disassembly and maintenance parts fatigue, new faults, time-consuming, etc., and achieve the effects of improving efficiency, reducing the number of additions, and easy selection

Active Publication Date: 2019-05-21
FUZHOU UNIV
View PDF9 Cites 10 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Studies have shown that most distribution switch failures are caused by mechanical failures. Usually, the main method of diagnosis for distribution switch mechanical failures is regular maintenance. Regular maintenance is not only time-consuming and laborious, but also repeated disassembly and maintenance may cause component fatigue. New faults are generated during maintenance
In addition, the diagnostic results of regular maintenance depend on the experience evaluation of maintenance personnel, which has a certain degree of subjectivity

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
  • Power distribution switch mechanical fault feature extraction method based on CEEMDAN and weighted time-frequency entropy
  • Power distribution switch mechanical fault feature extraction method based on CEEMDAN and weighted time-frequency entropy
  • Power distribution switch mechanical fault feature extraction method based on CEEMDAN and weighted time-frequency entropy

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0045] The technical solutions of the present invention will be further described below in conjunction with the accompanying drawings and through specific implementation methods.

[0046] Such as figure 1 As shown, a distribution switch mechanical fault feature extraction method based on CEEMDAN and weighted time-frequency entropy mainly includes the following contents:

[0047] To acquire vibration signals using acceleration or velocity signal data acquisition systems, it is necessary to set the sampling frequency (not less than 20kHz), waveform start threshold, and signal interception time parameters.

[0048] The vibration signal is decomposed using the CEEMDAN (Complete Empirical Mode Decomposition) method. Suppose the original signal is , set the noise standard deviation ratio, the upper limit of EMD iterations, and the number of auxiliary noise additions. After CEEMDAN decomposition, we can get:

[0049]

[0050] in, is the k-th order IMF (Intrinsic Mode Functio...

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 relates to the technical field of power distribution networks, and specifically relates to a power distribution switch mechanical fault feature extraction method based on CEEMDAN and weighted time-frequency entropy. The method comprises the following steps of: step 1, acquiring a vibration signal through an acceleration or speed signal data acquisition system; step 2, decomposing thevibration signal through a CEEMDAN method to obtain IMF components of each order of the vibration signal; step 3, obtaining instantaneous frequencies respectively corresponding to each order of IMF components through Hilbert transformation; step 4, carrying out equal frequency band division on the IMF component through a band-pass filtering method in combination with the instantaneous frequency to construct a time-frequency matrix with a specified bandwidth; and step 5, performing equal interval division on the time-frequency matrix in the time domain direction to obtain a block time-frequency matrix, and solving the energy value of each block time-frequency matrix to construct a block energy matrix. According to the method, in view of the complexity difference of time sequences of frequency bands, the normalized sample entropy of the frequency bands is taken as the weight, and the weighted time-frequency entropy is extracted from the normalized energy matrix in the time domain direction and the frequency domain direction respectively to enhance the characterization capability of the characteristics.

Description

technical field [0001] The invention relates to the technical field of distribution networks, in particular to a method for extracting mechanical fault features of distribution switches based on CEEMDAN and weighted time-frequency entropy. Background technique [0002] The distribution switch is an important switching device in the power system, which has the dual functions of controlling and protecting the power grid. Studies have shown that most distribution switch failures are caused by mechanical failures. Usually, the main method of diagnosis for distribution switch mechanical failures is regular maintenance. Regular maintenance is not only time-consuming and laborious, but also repeated disassembly and maintenance may cause component fatigue. New faults are generated during maintenance. In addition, the diagnostic results of regular maintenance depend on the experience and evaluation of maintenance personnel, which has a certain degree of subjectivity. In view of the...

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): G06K9/00G01M13/00
Inventor 杨耿杰乔苏朋郭谋发高伟翁秉钧
Owner FUZHOU UNIV
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