Sensor fault detection and isolation for wind turbines based on subspace identification and Kalman filter techniques
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Publication:3057024
DOI10.1002/acs.1162zbMath1203.93199OpenAlexW2043046474MaRDI QIDQ3057024
Xiukun Wei, Tim van Engelen, Verhaegen, Michel
Publication date: 24 November 2010
Published in: International Journal of Adaptive Control and Signal Processing (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1002/acs.1162
Filtering in stochastic control theory (93E11) Application models in control theory (93C95) Identification in stochastic control theory (93E12)
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Cites Work
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- Subspace algorithms for the stochastic identification problem
- The role of vector autoregressive modeling in predictor-based subspace identification
- Filtering and System Identification
- A generalized likelihood ratio approach to the detection and estimation of jumps in linear systems
- Asymptotic Variance of Closed-Loop Subspace Identification Methods
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