State evaluation of power-shift steering transmission based on hypersphere support vector machine

The hypersphere support vector machine is an efficient method to evaluate the state of mechanism. The state of Power-Shift Steering Transmission (PSST) is studied using hypersphere support vector machine. The theory of hypersphere support vector machine is researched and an evaluation model is developed. The generalization of the model is analyzed. The spectrometric oil analysis data are processed using Principal Component Analysis (PCA) method and the selection of parameters is made. The influence of abnormal for performance of hypersphere support vector machine is analyzed. On the basis of training samples, the state of test samples is evaluated. It has been proved that hypersphere support vector machine is suitable for evaluating the state of PSST. Moreover, the correct rate of model can be improved greatly if abnormal samples are taken into account.