期刊
AUTOMATICA
卷 44, 期 1, 页码 199-208出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.automatica.2007.05.009
关键词
non-uniformly sampled multirate systems; Kalman filters; one-step predictor; filtering; unified fault detection and isolation
The first part of the paper is the development of a data-driven Kalman filter for a non-uniformly sampled multirate (NUSM) system. Algorithms for both one-step predictor and filtering are developed and analysis of stability and convergence is conducted in the NUSM framework. The second part of the paper investigates a Kalman filter-based methodology for unified detection and isolation of sensor, actuator, and process faults in the NUSM system with analysis on fault delectability and isolability. Case studies using data respectively collected from a pilot experimental plant and a simulated system are conducted to justify the practicality of the proposed theory. (C) 2007 Elsevier Ltd. All rights reserved.
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