Title :
Statistical properties of CUSUM based fault detection schemes for fault tolerant control
Author :
Zhao, Qing ; Kinnaert, Michel
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Alberta, Edmonton, AB, Canada
Abstract :
This paper studies the statistical characteristics of a type of fault detection schemes based on CUSUM(Cumulative Sum) test and present both analytical results and Monte-Carlo simulation results for the probability distribution of the detection delay and the time between false alarms. These results can find important applications in both design and analysis of active fault tolerant control systems.
Keywords :
Monte Carlo methods; fault diagnosis; fault tolerance; statistical distributions; statistical testing; CUSUM; Monte Carlo simulation; active fault tolerant control systems; cumulative sum test; detection delay; fault detection; probability distribution; statistical characteristics; statistical properties; Change detection algorithms; Control system synthesis; Control systems; Delay effects; Detection algorithms; Fault detection; Fault tolerance; Fault tolerant systems; Stochastic processes; Testing;
Conference_Titel :
Decision and Control, 2009 held jointly with the 2009 28th Chinese Control Conference. CDC/CCC 2009. Proceedings of the 48th IEEE Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-3871-6
Electronic_ISBN :
0191-2216
DOI :
10.1109/CDC.2009.5400825
