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

Method for extracting characteristic data of stacker based on wavelet packet analysis

A technology of wavelet packet analysis and characteristic data, which is applied in special data processing applications, electrical digital data processing, complex mathematical operations, etc., can solve problems such as inability to reflect signal non-stationary, short-duration time domain and frequency domain localization, etc. Achieve good application prospects, satisfy monotonicity and additivity, and reduce the effect of data volume

Inactive Publication Date: 2017-11-21
STATE GRID JIANGSU ELECTRIC POWER CO ELECTRIC POWER RES INST +2
View PDF6 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Traditional vibration signal analysis and processing methods generally use Fourier analysis, which is an analysis method with a fixed window function, which cannot reflect the characteristics of the signal such as non-stationary, short-duration, time-domain and frequency-domain localization.

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
  • Method for extracting characteristic data of stacker based on wavelet packet analysis
  • Method for extracting characteristic data of stacker based on wavelet packet analysis

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0031] The present invention will be further described below in conjunction with the accompanying drawings.

[0032] Such as figure 1 As shown, the feature data extraction method of stacker based on wavelet packet analysis includes the following steps,

[0033] Step (A), the wavelet packet decomposition parameters are initialized, including initializing the original signal of the stacker as s, and setting the scale function decomposition layer as L, and L is preferably three layers;

[0034] Step (B), decompose the original signal of the stacker through the initialized wavelet packet, which is to use the scale function to generate the wavelet library, and use the wpdec() function to complete the decomposition of the original signal of the stacker, and obtain the decomposition The wavelet coefficient t of each layer, where the wpdec() function is a commonly used function in MATLAB, and the scaling function here is Among them, k is the number of samples; h1(k) is a low-pass f...

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 present invention discloses a method for extracting characteristic data of a stacker based on wavelet packet analysis. According to the method disclosed by the present invention, a wavelet packet decomposition parameter is initialized, an appropriate scaling function is selected, and a wavelet library is generated through the scaling function, so that the optimal decomposition effect is achieved, and the signal is decomposed reasonably; an appropriate cost function is selected so as to seek the optimal wavelet base, and the cost function satisfies the monotonicity and additivity; through the functions, the purpose that the original signal is compressed is achieved, and the size of the data is reduced; eigenvectors containing complete information of the original signal is obtained, and the working state signal for the stacker is processed and expanded; and the eigenvectors of the original signal of the stacker are extracted in the process, so that the purpose of data compression is achieved and good application prospect is ensured.

Description

technical field [0001] The invention relates to the technical field of automated stereoscopic warehouse (ASRS) equipment, in particular to a method for extracting feature data of a stacker based on wavelet packet analysis. Background technique [0002] Automated Stereoscopic Warehouse (ASRS), as one of the core technologies of modern logistics, has received widespread attention from various enterprises and is widely used in the production systems and circulation fields of tobacco, medicine, clothing, and food. With the continuous improvement of lean production requirements, the operating equipment in the automated three-dimensional warehouse includes conveyors, stackers, and handling vehicles. Among them, the stacker is an important part of it, and its signal processing is an indispensable step in the maintenance and detection of the stacker, and it is also the signal preprocessing of the fault diagnosis of the stacker. [0003] With the rapid increase in the use of automat...

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): G06K9/00G06F17/14
CPCG06F17/148G06F2218/08
Inventor 范洁彭楚宁蔡奇新苏慧玲高雨翔宋瑞鹏邵雪松季欣荣金萍
Owner STATE GRID JIANGSU ELECTRIC POWER CO ELECTRIC POWER RES INST
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