DocumentCode :
3743555
Title :
Detection of drift sensor faults in a class of nonlinear uncertain systems
Author :
Yilun Zhou;Thomas Parisini;Marios M. Polycarpou
Author_Institution :
Imperial College London, UK
fYear :
2015
Firstpage :
3169
Lastpage :
3174
Abstract :
The paper presents a drift sensor fault detection scheme for a class of nonlinear uncertain system with partially measurable state variables. A rigorous fault detectability and detection-time interval analysis is illustrated. Moreover, the set of detectable sensor faults is characterized using off-line information and an upper bound on the fault detection interval is derived. Finally, a monotonicity property of the detection-time interval upper bound with respect to the magnitude of sensor faults is presented.
Keywords :
"Fault detection","Estimation error","Upper bound","Uncertainty","Uncertain systems","Fault diagnosis","Mathematical model"
Publisher :
ieee
Conference_Titel :
Decision and Control (CDC), 2015 IEEE 54th Annual Conference on
Type :
conf
DOI :
10.1109/CDC.2015.7402694
Filename :
7402694
Link To Document :
بازگشت