Title :
Fisher discriminant analysis and the T2 statistic for process fault detection and classification
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; neural nets; principal component analysis; underwater vehicles; Fisher discriminant analysis; controller reconfiguration; hotelling T2 statistic; maneuvering capabilities; principal component analysis; process fault classification; process fault detection; reconfigurable control; recursive neural network; underwater vehicles; Control systems; Electrical fault detection; Fault detection; Principal component analysis; Statistical analysis; Statistics; Time measurement; Underwater tracking; Underwater vehicles; Vehicle detection;
Conference_Titel :
IECON 02 [Industrial Electronics Society, IEEE 2002 28th Annual Conference of the]
Print_ISBN :
0-7803-7474-6
DOI :
10.1109/IECON.2002.1185278
