Currently, Metal Magnetic Memory (MMM) non-destructive testing has been applied on trenchless inspection for buried pipeline. However, the problem of signal pattern recognition still exists. This paper introduces two signal processing methods to enhance the inspection accuracy of MMM: the signal segmented fluctuation and the signal segmented dissimilarity. Both of the two methods are designed for Signal singularity detection (SSD) of MMM signal. It is well known that the MMM signal of the stress concentrated area (SCA) is more fluctuant and dissimilar in contrast to those of non SCA, which is the basis of deriving the two algorithms. The two methods have the advantage in the detection of the metallic work piece which is non defective in looks but fatigued as well as may be helpful to detect the singularity of the signals such as negative pressure wave, ultrasonic wave etc. Experimental result with real data demonstrates the effectiveness of the proposed algorithms. Moreover, the MMM SSD software implementation is considered.
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2012 9th International Pipeline Conference
September 24–28, 2012
Calgary, Alberta, Canada
Conference Sponsors:
- International Petroleum Technology Institute
- Pipeline Division
ISBN:
978-0-7918-4512-7
PROCEEDINGS PAPER
Algorithm Study for Metal Magnetic Memory Signal Processing Available to Purchase
Zhanjun Feng,
Zhanjun Feng
PetroChina Pipeline R&D Center, Langfang, Hebei, China
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Weibin Wang,
Weibin Wang
PetroChina Pipeline R&D Center, Langfang, Hebei, China
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Hongjun Dong,
Hongjun Dong
PetroChina Pipeline Company, Langfang, Hebei, China
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Song Lin,
Song Lin
PetroChina Pipeline R&D Center, Langfang, Hebei, China
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Dianxue Wang,
Dianxue Wang
PetroChina Pipeline Company, Langfang, Hebei, China
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Kai Wu
Kai Wu
PetroChina Pipeline Company, Lanzhou, China
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Zhanjun Feng
PetroChina Pipeline R&D Center, Langfang, Hebei, China
Weibin Wang
PetroChina Pipeline R&D Center, Langfang, Hebei, China
Hongjun Dong
PetroChina Pipeline Company, Langfang, Hebei, China
Song Lin
PetroChina Pipeline R&D Center, Langfang, Hebei, China
Dianxue Wang
PetroChina Pipeline Company, Langfang, Hebei, China
Kai Wu
PetroChina Pipeline Company, Lanzhou, China
Paper No:
IPC2012-90033, pp. 677-680; 4 pages
Published Online:
July 25, 2013
Citation
Feng, Z, Wang, W, Dong, H, Lin, S, Wang, D, & Wu, K. "Algorithm Study for Metal Magnetic Memory Signal Processing." Proceedings of the 2012 9th International Pipeline Conference. Volume 1: Upstream Pipelines; Project Management; Design and Construction; Environment; Facilities Integrity Management; Operations and Maintenance; Pipeline Automation and Measurement. Calgary, Alberta, Canada. September 24–28, 2012. pp. 677-680. ASME. https://doi.org/10.1115/IPC2012-90033
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