Title :
Robust fault detection filter design
Author :
Douglas, Randal K. ; Speyer, Jason L.
Author_Institution :
California Univ., Los Angeles, CA, USA
Abstract :
In practical fault detection filter applications, reliable fault isolation takes place only when the detection space structure is insensitive to parameter variations. A left eigenvector assignment approach is developed which allows for the application of existing results relating supremal controllability subspaces and ill-conditioned eigenvectors. Modifications which yield improved eigenvector conditioning are applied to an aircraft accelerometer fault detection filter
Keywords :
controllability; eigenvalues and eigenfunctions; fault diagnosis; fault location; filtering theory; aircraft accelerometer fault detection filter; detection space structure; eigenvector conditioning; fault isolation; ill-conditioned eigenvectors; left eigenvector assignment approach; robust fault detection filter; supremal controllability subspaces; Accelerometers; Aircraft; Controllability; Fault detection; Fault diagnosis; Nonlinear filters; Redundancy; Robustness; Technological innovation; Tires;
Conference_Titel :
American Control Conference, Proceedings of the 1995
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-2445-5
DOI :
10.1109/ACC.1995.529214
