A statistical-based approach for fault detection in a three tank system
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Publication:5172469
DOI10.1080/00207721.2012.670292zbMath1307.93376OpenAlexW2131392579MaRDI QIDQ5172469
Mimoun Zelmat, A. Namoun, Abdelmalek Kouadri, M. A. Aitouche
Publication date: 4 February 2015
Published in: International Journal of Systems Science (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00207721.2012.670292
Reliability, availability, maintenance, inspection in operations research (90B25) Application models in control theory (93C95) Estimation and detection in stochastic control theory (93E10) Stochastic systems in control theory (general) (93E03)
Cites Work
- Novelty detection: a review. I. Statistical approaches
- Asymptotics of the sample coefficient of variation and the sample dispersion
- A survey of design methods for failure detection in dynamic systems
- Detection filter design: Spectral theory and algorithms
- Analytical redundancy and the design of robust failure detection systems
- Monitoring Field Variability Using Confidence Interval for Coefficient of Variation
- A geometric approach to the synthesis of failure detection filters
- A generalized likelihood ratio approach to the detection and estimation of jumps in linear systems
- An eigenstructure assignment algorithm for the design of fault detection filters
- A new interpretation of the fault detection filter Part 1: Closed-form algorithm
- Distribution of the Coefficient of Variation and the Extended "t" Distribution
- A Numerical Test of the Adequacy of A. T. McKay's Approximation
- Comparison of A. T. McKay's Approximation with Experimental Sampling Results
- A receding horizon Kalman FIR filter for discrete time-invariant systems
- Adaptive observer design for robust fault estimation
- Estimation and detection of unknown inputs using optimal FIR filter
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