Fuzzy Expert System for Defect Classification for Non-Destructive Evaluation of Petroleum Pipes

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Author Qidwai, Uvais A. en_US
Author Maqbool, Mohammed en_US
Available date 2009-12-29T10:49:19Z en_US
Publication Date 2007-01-08 en_US
Citation Qidwai, U.A.; Maqbool, M., "Fuzzy Expert System for Defect Classification for Non-Destructive Evaluation of Petroleum Pipes," Applied Sciences & Technology, 2007. IBCAST 2007. International Bhurban Conference on , vol., no., pp.73-77, 8-11 Jan. 2007 en_US
URI http://dx.doi.org/10.1109/IBCAST.2007.4379912 en_US
URI http://hdl.handle.net/10576/10570 en_US
Abstract In this paper, an expert system has been outlined to classify the defects in metallic petroleum pipelines using acoustic techniques with non-destructive evaluation (NDE) protocols, the proposed system maps the quantitative defect data through a novel perception-based kernel that has its roots in multidimensional fuzzy set theory to map the relative weights given to various features; mathematical or statistical, to the decision surface to deduce the type of the defect. The system has a centralized database which holds the defect information in the form of known and calculated features. The known features and their quantitative representations are used to initialize the database. Then experiments are conducted on known defects and the collected experimental data is then modeled into autoregressive process models using state of the art ltinfin deconvolution algorithm. With each feature set, a classifier tag is associated that assigns a class number to that defect. The classifier tag is then used to classify any new data using the fuzzy classifier. en_US
Language en en_US
Publisher IEEE en
Subject Fuzzy Expert System en_US
Subject Non-Destructive Evaluation en_US
Subject Petroleum Pipes en_US
Title Fuzzy Expert System for Defect Classification for Non-Destructive Evaluation of Petroleum Pipes en_US
Type Conference Paper en_US


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