DocumentCode
3077166
Title
Fault diagnosis in multirate sampled data systems
Author
Viswanadham, N. ; Minto, K.D.
Author_Institution
Dept. of Comput. Sci. & Autom., Indian Inst. of Sci., Bangalore, India
fYear
1990
fDate
5-7 Dec 1990
Firstpage
3666
Abstract
Three novel schemes for sensor and actuator fault diagnosis for linear time-invariant systems are presented: multirate parity-space techniques, multirate observers, and multirate detection filters. It is shown that these approaches offer distinct advantages over conventional fault diagnosis schemes in terms of ease of failure detection, the speed, and the class of systems for which detection is possible. In particular, the use of multirate sampling in each of these systems provides a more elegant failure detection system and alleviates the problems inherent in application to systems containing nonminimum phase zeros. It is shown that the existence of certain types of fault diagnosis schemes is a generic system property
Keywords
fault location; filtering and prediction theory; multivariable systems; sampled data systems; state estimation; actuator; fault diagnosis; generic system; linear time-invariant systems; multirate detection filters; multirate observers; multirate parity-space; multirate sampled data systems; nonminimum phase zeros; sensor; Actuators; Failure analysis; Fault detection; Fault diagnosis; Filtering theory; Filters; Noise measurement; Predictive models; Sampled data systems; Sampling methods;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 1990., Proceedings of the 29th IEEE Conference on
Conference_Location
Honolulu, HI
Type
conf
DOI
10.1109/CDC.1990.203520
Filename
203520
Link To Document