Aiming at the complex nonlinear characteristics of the dynamic balance machining error compensation function

a new approach of dynamic balance machining error compensation based on support vector regression（SVR） is presented.The dynamic balance machining data of rotors are analyzed and processed.The training samples is used as the inputs to predict the error compensation values with the trained SVR model.Simulation result shows that the compensation approach based on SVR could predict the dynamic balance machining error effectively.The error compensation is implemented efficiently and flexibly

so it can improve the precision of the dynamic balance machining effectively.