Title :
Spectral Analysis and Design of Detection Filter for Multiple-Dimensional Faults
Author :
Chen, Robert H. ; Speyer, Jason L.
Author_Institution :
SySense Inc., Burbank
Abstract :
The analysis and design of the detection filter using spectral theory is generalized. First, instead of assuming the fault directions are one-dimensional, they can be multiple- dimensional. Furthermore, instead of assuming the eigenvalues of the detection filter are real and distinct, they can be complex or real or even repeated. Finally, the associated algorithm for the detection filter design is derived.
Keywords :
control system synthesis; eigenvalues and eigenfunctions; fault diagnosis; filtering theory; spectral analysis; associated algorithm; detection filter design; eigenvalues; fault directions; multiple-dimensional faults; spectral analysis; spectral theory; Algorithm design and analysis; Cities and towns; Eigenvalues and eigenfunctions; Fault detection; Filtering theory; Information filtering; Information filters; Nonlinear filters; Spectral analysis; Vectors;
Conference_Titel :
American Control Conference, 2007. ACC '07
Conference_Location :
New York, NY
Print_ISBN :
1-4244-0988-8
Electronic_ISBN :
0743-1619
DOI :
10.1109/ACC.2007.4282929
