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Software-Intensive Equipment is the system which includes software and hardware. In this paper, we analyze the characteristics of software-intensive equipment and propose a non-parametric system reliability model to study the failure data with time series technique. The model uses fuzzy neural network and a wavelet function as the membership function to adjust the shape on line so that the model has...
The importance of maintenance optimization has been recognized over the past decades and is highly emphasized by today's competitive economy. In this paper, an updated sequential predictive maintenance (USPM) policy is proposed to decide a real-time preventive maintenance (PM) schedule for a continuously monitored degrading system that will minimize maintenance cost rate (MCR) in the long term, by...
Most of microarray data sets are imbalanced, i.e. the number of positive examples is much less than that of negative, which will hurt performance of classifiers when it is used for tumor classification. Though it is critical, few previous works paid attention to this problem. Here we propose embedded gene selection with two algorithms i.e. EGSEE (Embedded Gene Selection for EasyEnsemble) and EGSIEE...
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