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A knowledge-based automatic nondestr...

Lee, Sung Yong.

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A knowledge-based automatic nondestructive test for CIMS using the eddy-current method.

Record Type:	Electronic resources : Monograph/item
Title/Author:	A knowledge-based automatic nondestructive test for CIMS using the eddy-current method./
Author:	Lee, Sung Yong.
Description:	139 p.
Notes:	Source: Dissertation Abstracts International, Volume: 52-06, Section: B, page: 3231.
Contained By:	Dissertation Abstracts International52-06B.
Subject:	Engineering, Industrial. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=9129334

A knowledge-based automatic nondestructive test for CIMS using the eddy-current method.
Lee, Sung Yong.

A knowledge-based automatic nondestructive test for CIMS using the eddy-current method. - 139 p.

Source: Dissertation Abstracts International, Volume: 52-06, Section: B, page: 3231.

Thesis (Ph.D.)--The University of Alabama in Huntsville, 1991.

This dissertation presents a heuristic pattern recognition signal processing method to automate defect detection and classification processes. Testing is performed by the eddy current nondestructive testing technique. Eddy current testing consists of measuring impedance changes in a test coil caused by eddy currents induced in an electrically conductive material.Subjects--Topical Terms:

626639
Engineering, Industrial.

A knowledge-based automatic nondestructive test for CIMS using the eddy-current method.
LDR:02326nmm 2200313 4500 001 1837834
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008 130614s1991 eng d
035 $a (UnM)AAI9129334
035 $a AAI9129334
040 $a UnM $c UnM
100 1 $a Lee, Sung Yong. $3 1926264
245 1 2 $a A knowledge-based automatic nondestructive test for CIMS using the eddy-current method.
300 $a 139 p.
500 $a Source: Dissertation Abstracts International, Volume: 52-06, Section: B, page: 3231.
500 $a Adviser: Robert A. Brown.
502 $a Thesis (Ph.D.)--The University of Alabama in Huntsville, 1991.
520 $a This dissertation presents a heuristic pattern recognition signal processing method to automate defect detection and classification processes. Testing is performed by the eddy current nondestructive testing technique. Eddy current testing consists of measuring impedance changes in a test coil caused by eddy currents induced in an electrically conductive material.
520 $a The methodology presented in this dissertation utilizes an expert's knowledge in interpreting the impedance plane plots. Since this approach utilizes an expert's cognitive processes in impedance plane interpretation, its problem domain centers on representing the expert's knowledge. This is achieved through the knowledge engineering process.
520 $a The knowledge engineering process involves two steps. One is detecting defects; the other is classifying defect types. The pseudo run-length test is performed to check the signal data randomness to detect defects. Then the classification process begins. Each defect type's signal features are extracted based on experiments to classify the defect types. The rules for both the defect detection and classification process are developed based on the feature extraction results.
520 $a This approach is less difficult and expensive in developing a pattern recognition signal processing method for eddy current analysis in comparison to existing signal processing methods.
590 $a School code: 0278.
650 4 $a Engineering, Industrial. $3 626639
650 4 $a Engineering, System Science. $3 1018128
650 4 $a Computer Science. $3 626642
690 $a 0546
690 $a 0790
690 $a 0984
710 2 0 $a The University of Alabama in Huntsville. $3 1017884
773 0 $t Dissertation Abstracts International $g 52-06B.
790 1 0 $a Brown, Robert A., $e advisor
790 $a 0278
791 $a Ph.D.
792 $a 1991
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=9129334