Inspection method of cable-stayed bridge using magnetic flux leakage detection: principle, sensor design, and signal processing

2012 ◽  
Vol 26 (3) ◽  
pp. 661-669 ◽  
Author(s):  
Fengyu Xu ◽  
Xingsong Wang ◽  
Hongtao Wu
Keyword(s):  
Signal Processing ◽  
Magnetic Flux ◽  
Magnetic Flux Leakage ◽  
Sensor Design ◽  
Leakage Detection ◽  
Inspection Method ◽  
Cable Stayed Bridge ◽  
Flux Leakage ◽  
Detection Principle

Finite Element Analysis and Experimental Research for Horizontal Tank to Internal Magnetic Flux Leakage Detection

2014 ◽  
Vol 599-601 ◽  
pp. 321-325
Author(s):  
Li Qiang Sun ◽  
Hong Bo Zhu ◽  
Ming Xie ◽  
Ji Xia Li
Keyword(s):  
Finite Element Analysis ◽  
Finite Element ◽  
Magnetic Flux ◽  
Magnetic Flux Leakage ◽  
Leakage Detection ◽  
Element Analysis ◽  
The Finite Element Analysis ◽  
Horizontal Tank ◽  
Flux Leakage ◽  
Detection Effect

In view of the petroleum and petrochemical characteristics of horizontal tank, ANSYS software of finite element analysis was carried out on the horizontal tank within the magnetic flux leakage testing, analyzes the influencing factors of defect magnetic flux leakage signals. Experiments verify the finite element analysis results, the experimental results show that the research of horizontal tank within the magnetic flux leakage detection effect is obvious.

ANSYS Simulation Technology of Pipeline Magnetic Flux Leakage Inspection

2013 ◽  
Vol 718-720 ◽  
pp. 1000-1005
Author(s):  
Li Jian Yang ◽  
Sen Lin Zhang ◽  
Song Wei Gao
Keyword(s):  
Magnetic Field ◽  
Finite Element ◽  
Electromagnetic Field ◽  
Magnetic Flux ◽  
Oil And Gas ◽  
Gas Pipeline ◽  
Magnetic Flux Leakage ◽  
Field Calculation ◽  
Inspection Method ◽  
Flux Leakage

In order to solve the need of the oil and gas pipeline defect quantification in the real-time online defecting, magnetic flux leakage inspection method was applied to oil and gas pipeline inspection. According to the basic theory of the electromagnetic field, finite element solution of electromagnetic field and ANSYS electromagnetic field calculation theory, using the function of ANSYS 's simulation and calculation for magnetic field, three-dimensional finite element model of the oil and gas pipeline defect was built up. Through simulating, the relationship between defect signal and defect size was found, the optimal distance of the hall sensor lift-off value was verified, the best magnetization of leakage magnetic field was discussed, and various factors to influence the magnetic flux leakage signal is analyzed.

scholarly journals Data Analysis of Magnetic Flux Leakage Detection Based on Multi-Source Information Fusion

2020 ◽  
Author(s):  
Weilin Shao ◽  
Ming Sun ◽  
Yilai Ma ◽  
Jinzhong Chen ◽  
Xiaowei Kang ◽  
...  
Keyword(s):  
Data Analysis ◽  
Magnetic Flux ◽  
Information Fusion ◽  
Information Source ◽  
Magnetic Flux Leakage ◽  
Leakage Detection ◽  
Source Information ◽  
Source Data ◽  
Fusion Analysis ◽  
Flux Leakage

For the analysis of the magnetic flux leakage detection data in pipelines, a single information source data analysis method is used to determine the pipeline characteristics with uncertainty. A multi-source information fusion data analysis technology is proposed. This paper makes full use of the information collected by the multi-source sensors of the magnetic leakage internal detector, and adopts distributed and centralized multi-source information fusion analysis technology. First, pre-analyze and judge the information data of the auxiliary sensors (speed, pressure, temperature) of the internal magnetic flux leakage detector. Then, the data of the main sensor, ID / OD sensor, axial mileage sensor, and circumferential clock sensor of the magnetic flux leakage detector are analyzed separately. Finally, the RBF neural network + least squares support vector machine (LSSVM)fusion analysis technology is adopted to realize the fusion analysis of multi-source information. The results show that this method can effectively improve the quality and reliability of data analysis compared with traditional single information source data analysis.

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