Hybrid knowledge-based architecture for building an intelligent nondestructive signal inspection system-Reference-Cited by-同舟云学术

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Hybrid knowledge-based architecture for building an intelligent nondestructive signal inspection system

Published:1995-02 Issue:1 Volume:8 Page:21-31
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Ju Kang Soon,Rae Kwon Yong

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference22 articles.

1. Introduction to Electromagnetic Nondestructive Testing Methods;Libby,1971

2. Advanced Eddy Current Data Analysis Techniques for Steam Generator Tubing Training Book for Level II,1984

3. The status of vision expert systems for material inspection;Han;Journal of Minerals, Metal and Materials Society,1990

4. Artificial intelligence in the eddy current inspection of aircraft engine cmponents;Chapman;Materials Evaluation,1991

5. Expert system designed to increase the reliability of steam generator tubings;Bents,1990

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Automatic aerospace weld inspection using unsupervised local deep feature learning;Knowledge-Based Systems;2021-06

2. Artificial intelligence techniques for the automatic interpretation of data from non-destructive testing;Insight - Non-Destructive Testing and Condition Monitoring;2006-01-01

3. Case-based reasoning for interpretation of data from non-destructive testing;Engineering Applications of Artificial Intelligence;2001-08

4. Eddy current signal deconvolution technique for the improvement of steam generator tubing burst pressure predictions;Journal of Nondestructive Evaluation;2000

5. CBR Systems for Interpretation of Eddy-Current and Ultrasonic NDT Data;Applications and Innovations in Intelligent Systems VII;2000

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