Characteristics Identification of Pressure Fluctuation in Draft Tube of Hydraulic Turbine Based on FCM and EO-SVM
In order to effectively analyze the characteristics of pressure fluctuation in draft tube of hydraulic turbine,an identification method based on fuzzy C-means clustering,equilibrium optimizer algorithm,and support vector machine was proposed.Firstly,the equilibrium optimizer algorithm was used to optimize the penalty factor and kernel function of SVM to obtain a better combination of SVM parameters,and the EO-SVM identification model was constructed to realize its application in the identification of pressure pulsation characteristics in the draft tube of hydraulic turbine.Then the fuzzy C-means clustering algorithm was used to initially cluster the pressure fluctuation characteristics to classify into four categories.According to the clustering results,the samples closest to the center of each category were selected as the training samples of EO-SVM model.The identification and classification results of the SVM and EO-SVM were com-pared to verify the effectiveness of the proposed EO-SVM model.
NETL
NSTL
万方数据
维普
