Research on Zero Detection Method of Sealing Ring in Cylinder Tightening Process Based on Support Vector Machine

Sealing ring, a key role in the technique of cylinder tightening which is widely used in modern manufacturing. The amount of compression of the sealing ring can affect quality of the whole cylinder tightening process. The zero point detection of the sealing ring is crucial to measure the compression volume of the sealing ring. In this paper, aiming at the zero point of sealing ring is difficult to detect, the cylinder tightening process is analyzed in detail. Moreover, the characteristics changes of the zero point of the sealing ring are analyzed during the whole process of cylinder tightening, and preprocessing data of the tightening process, the detection model of zero point is established based on support vector machine (SVM) classification algorithm. Using the particle swarm algorithm and MATLAB simulation to optimize parameters, finally the model verification is completed. The experimental results show that the classification algorithm can precisely detect the zero point of the sealing ring.