TY - GEN
T1 - Design of turbine engine robust fault detection with LPV model
AU - Gou, Linfeng
AU - Wang, Xin
AU - Chen, Liang
PY - 2008
Y1 - 2008
N2 - This paper deals with a problem of turbine engine fault detection in dynamic process by using LPV mathematical model to exactly describe turbine engine dynamic characteristics, eliminate the effects of modeling error. Design robust fault detection filter (FDF) with eigenstructure assignment and realizes disturbance de-coupled with model uncertainty. The simulation results of turbine engine control system sensor fault show that this method has good performance in focusing discrimination in fault signal with modeling eror, enhancing the robustness to unknown input, detecting accuracy is high and satisfying real-time requirement.
AB - This paper deals with a problem of turbine engine fault detection in dynamic process by using LPV mathematical model to exactly describe turbine engine dynamic characteristics, eliminate the effects of modeling error. Design robust fault detection filter (FDF) with eigenstructure assignment and realizes disturbance de-coupled with model uncertainty. The simulation results of turbine engine control system sensor fault show that this method has good performance in focusing discrimination in fault signal with modeling eror, enhancing the robustness to unknown input, detecting accuracy is high and satisfying real-time requirement.
UR - https://www.scopus.com/pages/publications/52449099206
U2 - 10.1109/ICICIC.2008.221
DO - 10.1109/ICICIC.2008.221
M3 - 会议稿件
AN - SCOPUS:52449099206
SN - 9780769531618
T3 - 3rd International Conference on Innovative Computing Information and Control, ICICIC'08
BT - 3rd International Conference on Innovative Computing Information and Control, ICICIC'08
T2 - 3rd International Conference on Innovative Computing Information and Control, ICICIC'08
Y2 - 18 June 2008 through 20 June 2008
ER -