Fuzzy mapping of human heuristics for defect classification in gas pipelines using ultrasonic NDE

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Author Qidwai, Uvais en_US
Author Maqbool, Mohammed en_US
Author Jamil, Mohammad Shahid en_US
Available date 2009-12-29T10:53:31Z en_US
Publication Date 2007-02-12 en_US
Citation Qidwai, U.; Maqbool, M.; Shahid Jamil, M., "Fuzzy mapping of human heuristics for defect classification in gas pipelines using ultrasonic NDE," Signal Processing and Its Applications, 2007. ISSPA 2007. 9th International Symposium on , vol., no., pp.1-4, 12-15 Feb. 2007 en_US
URI http://dx.doi.org/10.1109/ISSPA.2007.4555432 en_US
URI http://hdl.handle.net/10576/10571 en_US
Abstract This paper presents a methodology for classifying the common defects in steel pipelines for transporting petroleum and gas. Usually, the nondestructive evaluation (NDE) experts in the industry judges the defect type by mere observation which, based on the experience, may or may not be correct. The proposed methodology has attempted to map this heuristic understanding from the shape of the defect waveforms (A-scans) using ultrasonic sensors with the help of fuzzy logic and fuzzy set associations. As such, a subset of features was selected for a set of commonly occurring defects and a fuzzy inference system is then generated using heuristic rules to classify the defect. The initial tests have shown over 90% success rate which is promising for further investigation. en_US
Language en en_US
Publisher IEEE en
Subject Fuzzy mapping en_US
Subject gas pipelines en_US
Subject ultrasonic NDE en_US
Title Fuzzy mapping of human heuristics for defect classification in gas pipelines using ultrasonic NDE en_US
Type Conference Paper en_US


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