Event Title

A Novel Method for Automatic Defect Classification Using Artificial Neural Networks

Location

Snowbird, UT, USA

Start Date

1-1-1999 12:00 AM

Description

Ultrasonic nondestructive evaluation (UNDE) of material aims at the detection of hidden flaws in material is a necessary part of the control of engineering systems for their safe and successful use in practical situations. Conventional UNDE approaches consist of the defect detection, characterization using the human visual inspection. Increasing emphasis on reliability and cost-effective methods of production have motivated a great deal of research in the area of UNDE [1–2]. A typical ultrasonic inspection system is shown in Figure 1.

Book Title

Review of Progress in Quantitative Nondestructive Evaluation

Volume

18A

Chapter

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

Section

Classification Techniques

Pages

843-850

DOI

10.1007/978-1-4615-4791-4_108

Language

en

File Format

application/pdf

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Jan 1st, 12:00 AM

A Novel Method for Automatic Defect Classification Using Artificial Neural Networks

Snowbird, UT, USA

Ultrasonic nondestructive evaluation (UNDE) of material aims at the detection of hidden flaws in material is a necessary part of the control of engineering systems for their safe and successful use in practical situations. Conventional UNDE approaches consist of the defect detection, characterization using the human visual inspection. Increasing emphasis on reliability and cost-effective methods of production have motivated a great deal of research in the area of UNDE [1–2]. A typical ultrasonic inspection system is shown in Figure 1.