Please use this identifier to cite or link to this item: https://doi.org/10.1109/ACC.2008.4587166
Title: A fault diagnosis scheme for time-varying fault using output probability density estimation
Authors: Zhang, Y. 
Wang, Q.-G.
Lum, K.-Y. 
Keywords: B-spline expansions
Fault detection and diagnosis
Observer design
Probability density function (PDF)
Time delays
Issue Date: 2008
Citation: Zhang, Y., Wang, Q.-G., Lum, K.-Y. (2008). A fault diagnosis scheme for time-varying fault using output probability density estimation. Proceedings of the American Control Conference : 4280-4285. ScholarBank@NUS Repository. https://doi.org/10.1109/ACC.2008.4587166
Abstract: In this paper, a fault diagnosis scheme for a class of time-varying faults using output probability density estimation is presented. The system studied is a nonlinear system with time delays. The measured output is viewed as a stochastic process and its probability density function (PDF) is modeled, which leads to a deterministic dynamical model including nonlinearities, uncertainties. The fault considered in this paper is time-varying, piecewise continuous with finite discontinuous points. A new adaptive fault diagnosis algorithm is proposed. An ideal estimation of the fault and its modified form are analyzed. Simulation example is given to demonstrate the effectiveness of the proposed approaches. ©2008 AACC.
Source Title: Proceedings of the American Control Conference
URI: http://scholarbank.nus.edu.sg/handle/10635/111516
ISBN: 9781424420797
ISSN: 07431619
DOI: 10.1109/ACC.2008.4587166
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