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A previous paper (Spall, 2010) described a method for estimating the reliability of a complex system based on a combination of full system and subsystem tests. A maximum likelihood estimate (MLE) is formed to estimate the subsystem reliabilities and the full system reliability. While the previous paper gave conditions under which the MLE converges to the true reliability as the sample size gets large,...
Entropy analysis is a key factor for ensuring the accuracy of measured data in pump test. But a unified and widely accepted evaluation method has not been formed. In this paper, an improved method based on the combination of maximum entropy and Monte Carlo method is proposed. Based on maximum entropy concept, statistical model of random distribution variables was presented, and a parameter estimation...
The ability of mobile robots to quickly and accurately analyze their dynamics is critical to their safety and efficient operation. In field conditions, significant uncertainty is associated with terrain and/or vehicle parameter estimates, and this must be considered in an analysis of robot motion. Here a Multi-Element generalized Polynomial Chaos (MEgPC) approach is presented that explicitly considers...
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