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Feature extraction and integration for the quantification of PMFL data

Lookup NU author(s): John Wilson, Muma Kaba, Professor Gui Yun TianORCiD


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If the vast networks of aging iron and steel, oil, gas and water pipelines are to be kept in operation, efficient and accurate pipeline inspection techniques are needed. Magnetic flux leakage (MFL) systems are widely used for ferromagnetic pipeline inspection and although MFL offers reasonable defect detection capabilities, characterisation of defects can be problematic and time consuming. The newly developed pulsed magnetic flux leakage (PMFL) system offers an inspection technique which equals the defect detection capabilities of traditional MFL, but also provides an opportunity to automatically extract defect characterisation information through analysis of the transient sections of the measured signals. In this paper internal and external defects in rolled steel water pipes are examined using PMFL, and feature extraction and integration techniques are explored to both provide defect depth information and to discriminate between internal and external defects. Feature combinations are recommended for defect characterisation and the paper concludes that PMFL can provide enhanced defect characterisation capabilities for flux leakage based inspection systems using feature extraction and integration.

Publication metadata

Author(s): Wilson JW, Kaba M, Tian GY, Licciardi S

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: Nondestructive Testing and Evaluation: Far East NDT Forum

Year of Conference: 2010

Pages: 101-109

ISSN: 1058-9759

Publisher: Taylor & Francis


DOI: 10.1080/10589750802588010

Library holdings: Search Newcastle University Library for this item

ISBN: 14772671