Abstract
Currently, the development of CNC machine tool changes rapidly and it sets efficient, flexible and sophisticated composite many of the advantages of an equipment manufacturing in a body so that the CNC machine tool has become the main processing equipment and mainstream products. The failure will seriously affect the competitiveness of the market if the equipment failure. However, fault diagnosis technology plays an important role in the maintenance of equipment and products, fault diagnosis research has gradually focus on condition monitoring, predictive maintenance and early fault diagnostic. The new concept is the use of intelligent maintenance system (IMS), constantly monitoring the status of equipment and product performance, forecasting and assessing, make a maintenance plan to prevent them from fault. The core technology of IMS is predicting and assessment the performance degradation process of the equipment and products. Shock model is one of the important researches in the reliability mathematical theory and describes system failure, maintenance and so the phenomenon of life in randomly changing environment whose central issue of the research is system failure or system life. This article discusses a shock model that the times of shock is a Poisson process and the damage is additive, obtain the expectations of damage combined with the failure characteristics of the CNC system, and provide a basis to assess the residual life of the CNC system.
