Abstract

Motorized spindle is one of the key components of CNC machine tools, and its degradation can be monitored in real time to predict the future reliable running time of motorized spindle, It is of great significance to reduce maintenance support cost and improve equipment stability to provide support for maintenance decision. In this paper, based on the comprehensive health index of motorized spindle and reliable running time forecast method, first of all, through the health indicator as a measure of motorized spindle health status characteristic parameters and characteristic parameters for single and multiple health indicator formula respectively, many characteristic parameters by using the method of sequence relations act and the entropy weight method to achieve the unity of the subjective and objective. Then, after the health factor modification, the comprehensive health indicator formula is obtained. Finally, an exponential model based on time series analysis is established to fit the variation trend of comprehensive health indicator of motorized spindle with time, and the expression of health indicator model is obtained. An example is given to verify the rationality and feasibility of the proposed method, and a comparative analysis is made with the reliability of references. The final results show that the proposed method in this paper is effective and reasonable. Can achieve the purpose of reliable running time estimation of motorized spindle.

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