The Research Of Bearing Life Prediction Based On Data Mining Technology

Data mining technology is a research aspect, which appears in database fields recently, and it has become a hotspot field which the internal or overseas scholars are researching into. This paper is backgrounded on the project of The Second Technology Alteration for the Test of Bearing Fatigue Life, which is cooperated by Dalian Maritime University Automation Institute and the Bearing Test Inspiring Center of WaFangDian Bearing Group. Combined with the current development status of the research on bearing's life at home and abroad, aiming at the fact that data-base and data warehouse technology have been applied in industrial field widely and the reality of the installation of on-line and off-line monitoring system to the significant equipments and large-scale databases and data warehouses forming, a new method is presented that is using Data Mining technology in the field of bearing's life prediction to find out the latent and useful knowledge in the typical data and finish the problem of prediction.Support Vector Machine is a kind of new technology, and is the hot issue following artificial neural network in machine learning. It involves any practical problems such as classification and regression estimation. The main advantage of SVM is that it can serve better in the processing of small-sample learning problems by the replacement of Experiential Risk Minimization by Structural Risk Minimization. Moreover, SVM can treat a nonlinear learning problem as a linear learning problem since it maps the original data to the kernel space in which we only solve the linear problems. The study of Support Vector Machine is becoming a new hotspot in the field of machine learning.By researching the data mining new arithmetic---- Support Vector Machine, it is applied to the bearing life prediction. This paper mainly focuses on the problem of bearing life prediction, that is, on the basis of the gathering oscillation signal of bearing from locale, by analyzing and disposing, making use of Support Vector Classification Machine and Support Vector Regression Machine two methods to predict the bearing life, reducing the experiment fee of bearing fatigue life.The technology of the bearing life prediction based on data mining technology willbring much benefit to the enterprise, and it is an urgent need in practical production. But, the data mining new arithmetic— Support Vector Machine is applied to the bearing life prediction, and few achievements are obtained on this respect at home. Therefore, the work of this paper has not only some value in the sphere of learning but also relatively broad practical prospect. The final experimental result shows that we can get valuable rules about bearing life prediction, and can more exactly predict the bearing life.