Method for automatically identifying flange axial flux leakage array signals

An array signal and axial flux leakage technology, which is applied in character and pattern recognition, instruments, computer parts, etc. The effect of high recognition rate and low computational complexity

Active Publication Date: 2017-05-31
BEIJING HUAHANG RADIO MEASUREMENT & RES INST
View PDF3 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In the prior art, it is difficult to automatically detect, identify and locate the flange magnetic flux leakage signal from the axial magnetic flux leakage array signal

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 automatically identifying flange axial flux leakage array signals
  • Method for automatically identifying flange axial flux leakage array signals
  • Method for automatically identifying flange axial flux leakage array signals

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0055] The technical solution of the present invention will be further explained and described in detail in conjunction with the accompanying drawings and specific embodiments.

[0056] A method for automatically identifying signals of a flange axial magnetic flux leakage array, the method comprising the following steps:

[0057] (1) Perform axial edge enhancement preprocessing on the original axial magnetic flux leakage array signal, so as to improve the target signal contrast. The specific implementation steps are as follows:

[0058] ① Select the convolution kernel T.

[0059]

[0060] ②Set the magnetic flux leakage array signal as f(x,y), calculate the convolution of f(x,y) and T, and obtain the edge enhancement data q(x,y):

[0061] q(x,y)=f(x,y)*T(x,y) (2)

[0062] (2) Normalize the preprocessed data into 0-255 shaping data, the specific implementation steps are:

[0063] Calculate the maximum Mx and minimum Mi of q(x,y), and complete the data normalization operati...

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 a method for automatically identifying flange axial flux leakage array signals, is suitable for the field of flux leakage internal detection data processing, and aims at solving the automatic detection, identification and location problems of the flange axial flux leakage signals. The method is specifically realized through the following steps of carrying out edge enhancement processing on flux leakage internal detection original data; carrying out self-adaptive threshold segmentation on the pre-processed data so as to obtain a flange signal coarse detection result; and carrying out vertical projection operation on the data to obtain flange signal features and then identify and locate flange signals. The method provided by the invention is low in calculation complexity and high in identification rate, and is capable of satisfying the requirements, for timeliness and correctness of big data processing, of engineering applications.

Description

technical field [0001] The invention belongs to the field of magnetic flux leakage internal detection data processing, and in particular relates to an automatic identification method for flange axial magnetic flux leakage array signals, which is used to solve the problems of automatic detection, identification and positioning of flange axial magnetic flux leakage signals. Background technique [0002] The automatic identification and positioning of the flange magnetic array signal has important engineering practical significance. Flanges, as the structural parts connecting oil and gas pipelines, have greater hidden dangers of corrosion and fracture than pipelines. Therefore, the detection and evaluation of flange welds is an important measure to ensure the safe operation of the entire oil and gas pipeline. The magnetic flux leakage internal detector uses the mileage wheel to record the defect position information to provide support for pipeline excavation, and the pollutants...

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): G06K9/00G06K9/62
CPCG06F2218/08G06F2218/12G06F18/23
Inventor 魏宁孙长燕张立平张珊刘思娇
Owner BEIJING HUAHANG RADIO MEASUREMENT & RES INST
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