A Data-Driven Robust Fault Detection Method for Linear Systems with Full-Order Sensors
Author:
Funder
the Funds of National Science of China
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Signal Processing
Link
https://link.springer.com/content/pdf/10.1007/s00034-022-02046-y.pdf
Reference31 articles.
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3. E. Chow, A. Willsky, Analytical redundancy and the design of robust failure detection systems. IEEE Trans. Autom. Control 29(7), 603–614 (1984)
4. S.X. Ding, Model-Based Fault Diagnosis Techniques: Design Schemes, Algorithms, and Tools (Springer, Berlin, 2008)
5. S.X. Ding, P. Zhang, A. Naik, E. Ding, B. Huang, Subspace method aided data-driven design of fault detection and isolation systems. J. Process Control 19(9), 1496–1510 (2009)
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