Title :
Detection and classification of faults affecting maneuverability of underwater vehicles
Author :
Beale, Guy O. ; Kim, Joseph H.
Author_Institution :
Dept. of Electr. & Comput. Eng., George Mason Univ., Fairfax, VA, USA
Abstract :
This paper describes the application of Fisher Discriminant Analysis and the Hotelling T2 statistic to the detection and classification of major failures that can occur in underwater vehicles. Simulation results are presented that demonstrate that rapid detection and reliable classification can be obtained with these methods.
Keywords :
fault diagnosis; principal component analysis; statistics; underwater vehicles; PCA; fault classification; fault detection; fisher discriminant analysis; hotelling T2 statistic; principal component analysis; underwater vehicles; Automotive engineering; Electrical fault detection; Fault detection; Principal component analysis; Reliability engineering; Statistical analysis; Statistics; Underwater tracking; Underwater vehicles; Vehicle detection;
Conference_Titel :
Industrial Electronics Society, 2003. IECON '03. The 29th Annual Conference of the IEEE
Print_ISBN :
0-7803-7906-3
DOI :
10.1109/IECON.2003.1279990
