Performance-based design of PI observers for fault diagnosis in LTI systems under Gaussian noises
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Other documents of the author: Sales-Setién, Ester; Peñarrocha-Alós, Ignacio; Dolz Algaba, Daniel; Sanchis LLopis, Roberto
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Show full item recordcomunitat-uji-handle:10234/9
comunitat-uji-handle2:10234/7034
comunitat-uji-handle3:10234/8619
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http://dx.doi.org/10.1109/SYSTOL.2016.7739784 |
Metadata
Title
Performance-based design of PI observers for fault diagnosis in LTI systems under Gaussian noisesAuthor (s)
Date
2016Publisher
IEEEISBN
978-1-5090-0658-8/16ISSN
2162-1209Bibliographic citation
SALES-SETIEN, Ester, et al. Performance-based design of PI observers for fault diagnosis in LTI systems under Gaussian noises. En Control and Fault-Tolerant Systems (SysTol), 2016 3rd Conference on. IEEE, 2016. p. 407-412.Type
info:eu-repo/semantics/conferenceObjectPublisher version
http://ieeexplore.ieee.org/abstract/document/7739784/Subject
Abstract
This work addresses the fault diagnosis problem for LTI systems under the presence of Gaussian noises through model-based proportional-integral observers with predefined gains. We propose an integrated design of ... [+]
This work addresses the fault diagnosis problem for LTI systems under the presence of Gaussian noises through model-based proportional-integral observers with predefined gains. We propose an integrated design of residual generators and evaluators which takes into account the trade-off between physically meaningful parameters such as the false alarm rate, the minimum isolable faults and the integral squared error of the residuals under step faults. Dynamical fault isolation is also taken into account. In order to solve this design problem, we present two different approaches: one based on the steady-state Kalman filter and another based on convex optimization techniques. [-]
Description
Ponencia presentada al 3rd Conference on Control and Fault-Tolerant Systems (SysTol), Barcelona, Spain, Sept. 7-9, 2016
Is part of
Control and Fault-Tolerant Systems (SysTol), 2016 3rd Conference on. IEEE, 2016Rights
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- ESID_Articles [459]