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The health management for aircraft system is difficult problem when the system is rife with nonlinear/non-Gaussian time evolution, the model parameters and sensors measurements are subject to uncertainty, and the diagnosis task suffers from some real-time constrains. This paper discusses the most relatively recent researches about Bayesian probability model, which focuses on the Bayesian networks...
This paper proposes a numerical-integration perspective on the Gaussian filters. A Gaussian filter is approximation of the Bayesian inference with the Gaussian posterior probability density assumption being valid. There exists a variation of Gaussian filters in the literature that derived themselves from very different backgrounds. From the numerical-integration viewpoint, various versions of Gaussian...
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