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Content Provider | IET Digital Library |
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Author | Luo, Zhen Fang, Huajing |
Abstract | This study extends the problem of fault detection (FD) for linear discrete-time systems with unknown input to non-linear systems. Moreover, based on physical consideration, the constraints of state are considered. A non-linear recursive filter is developed where the constrained state and the input are interconnected. Constraints which can improve the quality of estimation are imposed on individual updated sigma points as well as the updated state. The advantage of algorithm is that it is able to incorporate arbitrary constraints on the states during the estimation procedure. Unknown input which can be any signal is obtained by least-squares unbiased estimation and the state estimation problem is transformed into a standard unscented Kalman filter problem. By testing the mean of the innovation process, a real-time FD approach is proposed. Simulations are provided to demonstrate the effectiveness of the theoretical results. |
Starting Page | 800 |
Ending Page | 806 |
Page Count | 7 |
ISSN | 17519675 |
Volume Number | 7 |
e-ISSN | 17519683 |
Issue Number | Issue 9, Dec (2013) |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-spr/7/9 |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-spr.2012.0171 |
Journal | IET Signal Processing |
Access Restriction | Open |
Rights Holder | © The Institution of Engineering and Technology |
Subject Keyword | Fault Detection Fault Diagnosis Filtering Method in Signal Processing Interpolation And Function Approximation Kalman Filter Kalman Filter Problem Least Squares Approximation Least-squares Unbiased Estimation Linear Discrete-time System Nonlinear Filter Nonlinear Recursive Filter Nonlinear System Numerical Analysis Quality of Estimation Real-time FD Approach Recursive Filter Sigma Point Signal Processing Theory State Estimation State Estimation Problem |
Content Type | Text |
Resource Type | Article |
Subject | Signal Processing Electrical and Electronic Engineering |
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