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

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

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dc.contributor.author Qidwai, Uvais
dc.contributor.author Maqbool, Mohammed
dc.contributor.author Jamil, Mohammad Shahid
dc.date.accessioned 2009-12-29T10:53:31Z
dc.date.available 2009-12-29T10:53:31Z
dc.date.issued 2007-02-12
dc.identifier.uri http://dx.doi.org/10.1109/ISSPA.2007.4555432
dc.identifier.uri http://hdl.handle.net/10576/10571
dc.description.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
dc.language.iso en en_US
dc.subject Fuzzy mapping en_US
dc.subject gas pipelines en_US
dc.subject ultrasonic NDE en_US
dc.title Fuzzy mapping of human heuristics for defect classification in gas pipelines using ultrasonic NDE en_US
dc.type Article en_US

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