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With the fast development of Chinese high speed railway, the demand for the maintenance of railway equipment has increased rapidly. This paper studies an intelligent diagnosis method for high-speed railway turnout based on the support vector machine. We focus on the study about the methods of generating the feature vector and propose a rule-based method that utilizes the experts' experience knowledge...
This paper presents an effective method based on support vector machines for identification of power system disturbances. Because of its advantages in nonlinear systems applications, phase space reconstruction is used to extract the distinctive features of the voltage signals. Eighteen particular disturbance signals are selected and then analyzed using this tools. Phase space reconstruction and support...
An in-depth study of the multi-classification SVM is given, and the expression classification method based on SVM is proposed for the defects of the traditional classification methods. It realizes fast classification with a relatively small sub-classifier combination, reducing the classification error. Experiments show that the multi-classification method based on SVM can obviously reduce the training...
This paper presents a support vector machine algorithm to use to monitor the state of the furnace flame method. Through the comparison of several methods of monitoring found that the flame images, the basic brightness from the flame (through digital image processing methods will be broken down into its R, G, B RGB images), the flame area (camera video of the burning flame pixels area) in several aspects,...
In this paper, the performance of safety management in building construction in China is summarily analyzed. Considered the factors of the underlying causes of the construction safety accidents including staff, equipment, material, technique and circumstance, and combined with the latest study achievement of construction safety management at home and abroad, the underlying causes of poor safety management...
In view of the shortage of building safety data and the difficulty to collect them, we propose a new forecasting method based on support vector machine in this paper. We analyze some casualty data and construct a forecasting model with the method of support vector machine. The experiments prove that the method has advantages of lower error in simulation and higher precision in forecasting comparing...
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