A Bayesian solution to the multiple composite hypothesis testing for fault diagnosis in dynamic systems

DOI10.1016/j.automatica.2010.10.030zbMath1209.93147OpenAlexW2076407063MaRDI QIDQ629067

Takashi Yoneyama, Davi Antônio dos Santos

Publication date: 8 March 2011

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.automatica.2010.10.030

zbMATH Keywords

fault diagnosismultiple hypothesis testingestimation theorydetection theory

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Discrete-time control/observation systems (93C55) Estimation and detection in stochastic control theory (93E10) Linear systems in control theory (93C05)

Related Items (1)

A method for quantitative fault diagnosability analysis of stochastic linear descriptor models

Cites Work

• Fault diagnosis in dynamic systems using analytical and knowledge-based redundancy - a survey and some new results
• Intelligent state estimation for fault tolerant nonlinear predictive control
• A generalized likelihood ratio approach to the detection and estimation of jumps in linear systems
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