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Proceedings Paper

Pipe's bug detection based on magnetic field measurement with AMR sensors array
Author(s): Zhaohui Zhang; Hongyu Zhang; Zhiqian Gong; Lin Ye; Jinhui Lan; Xisheng Li
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Paper Abstract

Pipeline transportation, as it is low cost, steady supply and high efficiency, is widely used nowadays. However, pipelines might be damaged by natural power or human activities. Thus, pipeline status monitoring, including transmogrification, corrosion, flaw and crack, shows up more and more important. This paper presents a method using magnetic field measurement system which based on AMR (anisotropy magnetic resistance) sensors array to imaging the pipe's bug. Compared with single sensor, it can capture more all-around information about the magnetic field distribution on pipe wall, and it can make the detection more veracity; Compared with the traditional pipeline pig, which based on Hall elements, it provides greater sensitivity. A mechanical model of relationships between the pipe's bug and the magnetic field distribution is given; In this AMR measurement system, the hardware includes arrangement sensors, Set/Reset circuits, amplifiers, multiplexers, DSP device, data radio module and power supply; and software contains an autocalibration algorithm, and a VC display program of the measured magnetic field. An experimental pipe bug is detected and the magnetic field is discussed.

Paper Details

Date Published: 28 October 2006
PDF: 7 pages
Proc. SPIE 6358, Sixth International Symposium on Instrumentation and Control Technology: Sensors, Automatic Measurement, Control, and Computer Simulation, 63580E (28 October 2006); doi: 10.1117/12.717644
Show Author Affiliations
Zhaohui Zhang, Univ. of Science and Technology Beijing (China)
Hongyu Zhang, Univ. of Science and Technology Beijing (China)
Zhiqian Gong, Univ. of Science and Technology Beijing (China)
Lin Ye, Univ. of Science and Technology Beijing (China)
Jinhui Lan, Univ. of Science and Technology Beijing (China)
Xisheng Li, Univ. of Science and Technology Beijing (China)


Published in SPIE Proceedings Vol. 6358:
Sixth International Symposium on Instrumentation and Control Technology: Sensors, Automatic Measurement, Control, and Computer Simulation
Jiancheng Fang; Zhongyu Wang, Editor(s)

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