DocumentCode
490026
Title
System Status Feature Extraction Based on Recursive Lattice and Block Linear Predictive Coding Algorithm
Author
Liu, Wei ; Doraiswami, R.
Author_Institution
Student Member, IEEE, Department of Electrical Engineering, University of New Brunswick, Fredericton, NB, Canada
fYear
1992
fDate
24-26 June 1992
Firstpage
3376
Lastpage
3376
Abstract
The control system status features are extracted by using fast recursive least-squares lattice (RLSL) and block linear predictive coding algorithm (LPCA), respectively. A short time record of control system signal is captured and the future trend of the system is predicted by analyzing the variations of the estimated auto regressive and moving average (ARMA) model parameters. The comparison of two methods applied in system performance monitoring with real-time data cases are given and their performance are evaluated.
Keywords
Control system synthesis; Control systems; Feature extraction; Lattices; Linear predictive coding; Monitoring; Prediction algorithms; Predictive models; Signal analysis; System performance;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, 1992
Conference_Location
Chicago, IL, USA
Print_ISBN
0-7803-0210-9
Type
conf
Filename
4792779
Link To Document