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Author Qidwai, Uvaisen_US
Author Maqbool, Mohammeden_US
Author Jamil, Mohammad Shahiden_US
Available date 2009-12-29T10:53:31Zen_US
Publication Date 2007-02-12en_US
Publication Name 9th International Symposium on Signal Processing and Its Applications (ISSPA) 2007
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. 2007en_US
URI http://dx.doi.org/10.1109/ISSPA.2007.4555432en_US
URI http://hdl.handle.net/10576/10571en_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 enen_US
Publisher IEEEen
Subject Fuzzy mappingen_US
Subject gas pipelinesen_US
Subject ultrasonic NDEen_US
Title Fuzzy mapping of human heuristics for defect classification in gas pipelines using ultrasonic NDEen_US
Type Conference Paperen_US


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