Title :
Optimal statistical fault detection with nuisance parameters
Author :
Flouladirad, M. ; Nikiforov, Igor
Author_Institution :
LM2S/UTT, Troyes, France
Abstract :
Fault detection is addressed within a statistical framework. The corresponding inference problem is stated. Particular emphasis is put on dealing with nuisance parameters. A statistical tool for solving this inference problem is described. An example illustrates the proposed method.
Keywords :
fault diagnosis; linear systems; maintenance engineering; statistical analysis; stochastic systems; dynamical system; inference problem; linear stochastic system; nuisance parameters; optimal statistical fault detection; Condition monitoring; Fault detection; Redundancy; Security; Statistical analysis; Stochastic resonance; Stochastic systems; Testing; Uncertainty; Working environment noise;
Conference_Titel :
American Control Conference, 2003. Proceedings of the 2003
Print_ISBN :
0-7803-7896-2
DOI :
10.1109/ACC.2003.1243781
