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Blower ventilators are one of the main rotating equipment in the thermal power plant, supervising and forecasting the faults of the operating ventilator can significantly improve the safety and economy of ventilator as well as guarantee the normal operation of blower. In this paper, the basic principle of faults diagnosis and advantages of DAGSVM are analyzed, the knowledge library of ventilator operating...
In order to forecast the bearing vibration of large-scale centrifugal ventilator, increase its operating safety and economy, the kernel algorithm of Statistical Learning Theory (SLT), Support Vector Machine (SVM) is applied to set up a forecast model of large-scale centrifugal ventilator bearing vibration. The model based on SVAR is compared with the model based-on Autoregressive by a case. The result...
Traffic can reflect the latent rules and characteristics of the wireless network. Through researching, we found that the more accurate traffic prediction, the higher efficiency, utilization rate of network bandwidth and QoS can be guaranteed. Therefore, how to construct predictive models of wireless network traffic exactly is a major research topic. In this paper, Minimax Probability Machine Regression...
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