Location

Seattle, WA

Start Date

1-1-1996 12:00 AM

Description

Ultrasonic waveforms reflected by various kinds of defects were calculated by numerical analysis based on elastic wave theory. By using these calculated results as a knowledge base, development of nondestructive evaluation system which provides quantitative information, such as types, locations and sizes of the defects is expected. In previous studies, a neural network was applied to construct the knowledge base [1–3]. However, there are some problems in a neural network approach for the quantitative evaluation of defects. A neural network is able to characterize the waveform data effectively, but it does not necessarily interpolate the learning data accurately. In addition, there is an inevitable error caused by the different conditions in numerical analysis and experimental results.

Volume

15A

Chapter

Chapter 3: Signal Processing and Image Analysis

Section

Signal Processing

Pages

781-788

DOI

10.1007/978-1-4613-0383-1_102

Language

en

File Format

application/pdf

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Jan 1st, 12:00 AM

Quantitative Evaluation of Defects by Fuzzy Reasoning Based on Principal Component Analysis

Seattle, WA

Ultrasonic waveforms reflected by various kinds of defects were calculated by numerical analysis based on elastic wave theory. By using these calculated results as a knowledge base, development of nondestructive evaluation system which provides quantitative information, such as types, locations and sizes of the defects is expected. In previous studies, a neural network was applied to construct the knowledge base [1–3]. However, there are some problems in a neural network approach for the quantitative evaluation of defects. A neural network is able to characterize the waveform data effectively, but it does not necessarily interpolate the learning data accurately. In addition, there is an inevitable error caused by the different conditions in numerical analysis and experimental results.