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
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;
Conference_Titel :
Circuits and Systems, 1999. 42nd Midwest Symposium on
Conference_Location :
Las Cruces, NM
Print_ISBN :
0-7803-5491-5
DOI :
10.1109/MWSCAS.1999.867298
