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The remaining useful life (RUL) prediction of bearings has emerged as a critical technique for providing failure warnings in advance, reducing costly unscheduled maintenance and enhancing the reliability of bearings. Recently, a fusion prognostics method combining exponential model and relevance vector machine (RVM) has been proposed and applied to the RUL prediction of bearings. This fusion prognostics...
Traditional Support Vector Regression (SVR) solvers require user pre-specified penalty (regularization) parameter as input and typically model the training data with maximum a posterior (MAP) principle. The resultant point estimates can be affected seriously by inappropriate regularization, outliers and noise, especially when training online. In this paper, we address the aforementioned problems by...
A method of forecasting process capability index was recommended based on least squares support vector machines (LS-SVM). The parameters of LS-SVM were optimized by Bayesian framework. The higher precision model of prediction for process capability index was built by optimizing parameters. The prediction results show it have many advantage, such as lower error and higher fitting, and it can be used...
In the evaluation process of Military communication network effectiveness (MCNE), the evaluation data mainly come from expert judgments, simulation results and test bed data, and these data cannot be directly used to evaluate MCNE because these three kinds of data are very different in form and in attribute. This research proposed a novel method which synthesizes expert judgments, simulation results,...
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