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AuthorQidwai, Uvais
AuthorMaqbool, Mohammed
AuthorJamil, Mohammad Shahid
Available date2009-12-29T10:53:31Z
Publication Date2007-02-12
Publication Name9th International Symposium on Signal Processing and Its Applications (ISSPA) 2007
CitationQidwai, 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
URIhttp://dx.doi.org/10.1109/ISSPA.2007.4555432
URIhttp://hdl.handle.net/10576/10571
AbstractThis 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.
Languageen
PublisherIEEE
SubjectFuzzy mapping
Subjectgas pipelines
Subjectultrasonic NDE
TitleFuzzy mapping of human heuristics for defect classification in gas pipelines using ultrasonic NDE
TypeConference Paper


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