Location

La Jolla, CA

Start Date

1-1-1983 12:00 AM

Description

The purpose of this paper is to describe an integrated model for assessing the performance of a given ultrasonic inspection system for detecting internal flaws, where the performance of such a system is measured by probability of detection and other related quantities. The integrated model incorporates much of the work described in Thompson (1982), Gray and Thompson (1982), Thompson and Gray (1982), Addison and Elsley (1982), and Tittmann and Ahlberg (1982), The major challenges to these investigators were to properly account for the effects of real part geometries on sound propagation and to measure noise spectra due to various noise mechanisms. The results of these efforts could be incorporated into a model which computes a signal-to-noise ratio for any given transducer configuration and flaw state. The choice of an optimal transducer configuration might then be guided by such calculations.

Book Title

Review of Progress in Quantitative Nondestructive Evaluation

Volume

2A

Chapter

Section 3: Probability of Detection—Ultrasonics

Pages

147-169

DOI

10.1007/978-1-4613-3706-5_9

Language

en

File Format

application/pdf

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Jan 1st, 12:00 AM

Computer Simulation of Probability of Detection

La Jolla, CA

The purpose of this paper is to describe an integrated model for assessing the performance of a given ultrasonic inspection system for detecting internal flaws, where the performance of such a system is measured by probability of detection and other related quantities. The integrated model incorporates much of the work described in Thompson (1982), Gray and Thompson (1982), Thompson and Gray (1982), Addison and Elsley (1982), and Tittmann and Ahlberg (1982), The major challenges to these investigators were to properly account for the effects of real part geometries on sound propagation and to measure noise spectra due to various noise mechanisms. The results of these efforts could be incorporated into a model which computes a signal-to-noise ratio for any given transducer configuration and flaw state. The choice of an optimal transducer configuration might then be guided by such calculations.