Abstract
Traditional reliability analysis of CNC Machine Tools based on mathematical statistics method, which have to obtain a large number of failure datas through accelerated life test, It is not suitable for high-precision products. In this case, machining features based on the current machine performance degradation datas can provide more useful information about the reliability analysis. Based on using failure datas to model and the current equipment vibration signal feature extraction, a new method of reliability analysis by using proportional hazard models is proposed in this paper. By this method, not only the low-level information(such as the vibration feature of equipment) and high-level information(like the reliability of the equipment) of CNC machine tools can be linked but also the reliability model can be established based on the extraction of vibration characteristics of spindle bearing.
Published Version
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