DocumentCode
356075
Title
Theoretical explanation for the empirical probability of detection (POD) curve: a neural network-motivated approach
Author
Mendoza, Yohans ; Osegueda, Roberto
Author_Institution
Dept. of Comput. Sci., Texas Univ., El Paso, TX, USA
Volume
1
fYear
1999
fDate
1999
Firstpage
435
Abstract
For nondestructive testing of aerospace structures, it is extremely important to know how the probability of detecting a fault depends on its size. Recently an empirical formula has been found which described this dependence. In this paper, we provide the theoretical justification for this formula by using methods motivated by the neural network approach
Keywords
aerospace testing; neural nets; nondestructive testing; probability; aerospace structures; empirical probability of detection curve; fault detection; neural network-motivated approach; nondestructive testing; Aerospace testing; Computer science; Fault detection; Neural networks; Nondestructive testing; Probability; Reliability theory; Statistics; System testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 1999. 42nd Midwest Symposium on
Conference_Location
Las Cruces, NM
Print_ISBN
0-7803-5491-5
Type
conf
DOI
10.1109/MWSCAS.1999.867298
Filename
867298
Link To Document