Title :
Statistical characterization of the GLR based fault detection
Author :
Shuonan Yang ; Qing Zhao
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Alberta, Edmonton, AB, Canada
fDate :
June 29 2011-July 1 2011
Abstract :
This paper is mainly focused on providing the probabilistic performance criteria for generalized likelihood ratio (GLR) test based fault detection schemes. Analytical expressions regarding probability distribution of the detection delay and time between false alarms are presented, which are validated by simulation. The results can be applied to important industrial application, such as abnormal signal monitoring (magnitude or energy), targeting and navigation, as well as the design of fault tolerant control systems (FTCS).
Keywords :
fault diagnosis; industrial control; statistical distributions; GLR based fault detection; abnormal signal monitoring; detection delay; false alarms; fault tolerant control systems; generalized likelihood ratio test; industrial application; navigation; probabilistic performance criteria; probability distribution; statistical characterization; Analytical models; Delay; Fault detection; Histograms; Noise; Probability distribution; Upper bound;
Conference_Titel :
American Control Conference (ACC), 2011
Conference_Location :
San Francisco, CA
Print_ISBN :
978-1-4577-0080-4
DOI :
10.1109/ACC.2011.5991548
