In-pipe Detection System Based on Magnetic Flux Leakage and Eddy Current Detection

2020 ◽  
Author(s):  
Xiaolin Liu ◽  
Chun Hu ◽  
Peng Peng ◽  
Rui Li ◽  
Xiaoming Zhao ◽  
...  
Keyword(s):  
Magnetic Flux ◽  
Eddy Current ◽  
Detection System ◽  
Magnetic Flux Leakage ◽  
Current Detection ◽  
Flux Leakage

A method for quantitative identification of magnetic flux leakage of fatigue cracks in ferromagnetic components

2020 ◽  
Vol 62 (7) ◽  
pp. 428-432
Author(s):  
Li Hong ◽  
Jianxian Cai ◽  
Yanxiong Wu ◽  
Zhenjing Yao ◽  
Zhongchao Qiu ◽  
...  
Keyword(s):  
Magnetic Flux ◽  
Detection System ◽  
Fatigue Cracks ◽  
Principal Component ◽  
Maximum Error ◽  
Linear Mapping ◽  
Magnetic Flux Leakage ◽  
Support Vector ◽  
Quantitative Identification ◽  
Flux Leakage

A modelling method integrating principal component analysis (PCA) and the least-squares support vector machine with particle swarm optimisation (PSO-LSSVM) is proposed to address the difficulties in quantitative identification of fatigue cracks. The widths and depths of fatigue cracks are quantitatively identified by establishing a non-linear mapping relationship between these dimensions and magnetic flux leakage (MFL) signals. A series of fatigue crack samples are prepared through the fatigue tensile test for the MFL detection system. A sample library is established through MFL experimentation to verify the feasibility of the method for quantitative identification of fatigue cracks based on PSO-LSSVM. The results indicate that the method is in a position to effectively and quantitatively identify the widths and depths of fatigue cracks less than 1 mm in size with a maximum error of approximately 0.3 mm.

Study on the Application of FPGA in Magnetic Flux Leakage Acquisition System

2013 ◽  
Vol 694-697 ◽  
pp. 1354-1357
Author(s):  
Ming Gang Chai ◽  
Xia Hai ◽  
Xun Wu Gong
Keyword(s):  
Magnetic Flux ◽  
High Speed ◽  
Detection System ◽  
Magnetic Flux Leakage ◽  
Acquisition System ◽  
Time Data ◽  
Communication Module ◽  
Serial Processor ◽  
Data Design ◽  
Flux Leakage

Embedded CPU in traditional magnetic flux leakage detection system was used as the master controller. CPU is serial processor, which making it difficult to collect the large amounts of real-time data. While FPGA has the advantages of high integration, high speed processing, parallel processing. FPGA is applied to magnetic flux leakage acquisition system to solve data acquisition problem. It comes up with the designs of a multi-channel magnetic flux leakage signal selection control module, A/D conversion module and communication module in VHDL language on QuartusII. The experimental results show that each module of the magnetic flux leakage acquisition system based on FPGA can meet the requirements, and can correctly collect magnetic flux leakage signal, convert and transmit data. Design of FPGA-based is programmable in the field, magnetic flux leakage collection system can be flexibly designed for different occasions, and has independent intellectual property rights.

Multiple cracks detection and visualization using magnetic flux leakage and eddy current pulsed thermography

2015 ◽  
Vol 234 ◽  
pp. 269-281 ◽  
Author(s):  
Yunlai Gao ◽  
Gui Yun Tian ◽  
Kongjing Li ◽  
Juan Ji ◽  
Ping Wang ◽  
...  
Keyword(s):  
Magnetic Flux ◽  
Eddy Current ◽  
Magnetic Flux Leakage ◽  
Multiple Cracks ◽  
Pulsed Thermography ◽  
Flux Leakage

Study on Method of Magnetic Flux Leakage Signals De-Noising for Cracks of Bar

2011 ◽  
Vol 148-149 ◽  
pp. 757-761
Author(s):  
Hong Chun Sun ◽  
Yong Fa Xia ◽  
Yue Cheng Deng
Keyword(s):  
Magnetic Flux ◽  
High Frequency ◽  
Integration Method ◽  
Detection System ◽  
Wavelet Packet ◽  
Magnetic Flux Leakage ◽  
Interference Signal ◽  
Wavelet Packet Decomposition ◽  
Advantages And Disadvantages ◽  
Flux Leakage

During bars manufacturing and using process, the use of bars with cracks influenced the service life and sustainable work, on the premise of certain detection system, the choose of signal de-noising method plays an important part in magnetic flux leakage testing process, for which determining the global performance of testing equipment. This paper studies on magnetic flux leakage signals characteristic of cracks on the bar, analyzed the advantages and disadvantages of wavelet analysis and wavelet packet threshold de-noising, and on this basis, in order to give consideration to both the low and high frequency interference signal removing, adopted an integration method that combines wavelet packet threshold de-noising, wavelet packet decomposition and wavelet reconstruction, which greatly improved signal processing results.

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