Event Title

A Systematic Approach to Ultrasonic Pattern Recognition for Real-Time Intelligent Flaw Classification in Weldments

Location

Snowbird, UT, USA

Start Date

1-1-1999 12:00 AM

Description

Flaw classification is one of the essential issues in quantitative ultrasonic nondestructive evaluation of weldments. Ultrasonic flaw classification can be divided into three approaches [1]; 1) conventional approaches which use heuristic experience-based echo-dynamic pattern identification techniques, 2) model-based approaches which use model-based strong features in ultrasonic flaw signals, and 3) ultrasonic pattern recognition approaches which use features and decision making algorithms and adopt various signal processing techniques and artificial intelligent tools. Among these approaches, ultrasonic pattern recognition approaches which are considered as the most promising tool have been investigated extensively in the ultrasonic nondestructive evaluation (NDE) community [2–6].

Book Title

Review of Progress in Quantitative Nondestructive Evaluation

Volume

18A

Chapter

Chapter 3: Simulations, Signal Processing, Tomography, and Holography

Section

Classification Techniques

Pages

865-872

DOI

10.1007/978-1-4615-4791-4_111

Language

en

File Format

application/pdf

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Jan 1st, 12:00 AM

A Systematic Approach to Ultrasonic Pattern Recognition for Real-Time Intelligent Flaw Classification in Weldments

Snowbird, UT, USA

Flaw classification is one of the essential issues in quantitative ultrasonic nondestructive evaluation of weldments. Ultrasonic flaw classification can be divided into three approaches [1]; 1) conventional approaches which use heuristic experience-based echo-dynamic pattern identification techniques, 2) model-based approaches which use model-based strong features in ultrasonic flaw signals, and 3) ultrasonic pattern recognition approaches which use features and decision making algorithms and adopt various signal processing techniques and artificial intelligent tools. Among these approaches, ultrasonic pattern recognition approaches which are considered as the most promising tool have been investigated extensively in the ultrasonic nondestructive evaluation (NDE) community [2–6].