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Title: Fault detection and isolation for linear time-invariant systems

This paper is concerned with the problem of detecting and isolating faults by an observer. If the initial error of state estimation is zero, we show that faults can be isolated if and only if the system has a left-invertible detectability matrix which is defined in the present paper. For the more realistic case of nonzero initial error of state estimation, we develop fault isolation filters such that failures to be detected can be asymptotically isolated. We give necessary and sufficient conditions for the existence of such filters. We provide a method to design a fault isolation filter. This design procedure guarantees to isolate up to n faults, where n is the dimension of the system.
Authors:
;  [1]
  1. Arizona State Univ., Tempe, AZ (United States)
Publication Date:
OSTI Identifier:
70853
Report Number(s):
CONF-941216-
CNN: Contract RP8015-03; TRN: 95:004350-0040
Resource Type:
Conference
Resource Relation:
Conference: 33. Institute of Electrical and Electronic Engineers (IEEE) conference on decision and control, Orlando, FL (United States), 14-16 Dec 1994; Other Information: PBD: 1994; Related Information: Is Part Of Proceedings of the 33rd IEEE conference on decision and control; PB: 4347 p.
Publisher:
IEEE, New York, NY (United States)
Country of Publication:
United States
Language:
English
Subject:
22 NUCLEAR REACTOR TECHNOLOGY; 42 ENGINEERING NOT INCLUDED IN OTHER CATEGORIES; FAILURES; DETECTION; CONTROL SYSTEMS; DESIGN; SYSTEM FAILURE ANALYSIS; AVAILABILITY; RELIABILITY