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Subspace based Fault Detection and Identification for LTI Systems

  • Published:2009 Issue:8 Volume:42 Page:330-335
  • ISSN:1474-6670
  • Container-title:IFAC Proceedings Volumes
  • language:en
  • Short-container-title:IFAC Proceedings Volumes

Author:

Dong Jianfei,Verhaegen Michel

Publisher

Elsevier BV

Subject

General Medicine

Reference19 articles.

1. On fault detectability and isolability;Basseville;European Journal of Control,2001

2. Detection of Abrupt Changes – Theory and Application;Basseville,1993

3. Subspace-based fault detection algorithms for vibration monitoring;Basseville;Automatica,2000

4. On the relation between CCA and predictor-based subspace identification;Chiuso;IEEE Transactions on Automatic Control,2007

5. Analytical redundancy and the design of robust failure detection systems;Chow;IEEE Transactions on Automatic Control,1984

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2. Hankel matrix-based Mahalanobis distance for fault detection robust towards changes in process noise covariance;IFAC-PapersOnLine;2021

3. Fault Diagnosis and Condition Monitoring Approaches;Electro-Mechanical Actuators for the More Electric Aircraft;2021

4. Basic Methods for Fault Detection in Dynamic Processes;Advanced methods for fault diagnosis and fault-tolerant control;2020-11-24

5. Data‐driven fault detection for linear systems: A q‐step residual iteration approach;International Journal of Robust and Nonlinear Control;2020-07-15
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