Title :
Neural networks in fault detection: a case study
Author :
Hush, D.R. ; Abdallah, C.T. ; Heileman, G.L. ; Docampo, D.
Author_Institution :
Dept. of Electr. Eng. & Comput. Eng., New Mexico Univ., Albuquerque, NM, USA
Abstract :
We study the applications of neural nets in the area of fault detection in real vibrational data. The study is one of the first to include a large set of real vibrational data and to illustrate the potential as well as the limitations of neural networks for fault detection
Keywords :
ART neural nets; computerised monitoring; fault diagnosis; feature extraction; feedforward neural nets; fuzzy neural nets; multilayer perceptrons; pattern classification; signal processing; fault detection; neural networks; vibrational data; Computer aided software engineering; Fault detection; Helicopters; Intelligent networks; Monitoring; Neural networks; Potential well; Shafts; Signal processing algorithms; Subspace constraints;
Conference_Titel :
American Control Conference, 1997. Proceedings of the 1997
Conference_Location :
Albuquerque, NM
Print_ISBN :
0-7803-3832-4
DOI :
10.1109/ACC.1997.609660
