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基于最大熵原理与鉴别信息的机床主轴系统退化分析

         

摘要

The methods of maximum entropy and discrimination information were applied to the analysis of X2 direction degradation of a M1432 grinding machine. The maximum entropy principle was used to obtain the accurate maximum entropy probability density distribution of the vibration. Then, the discrimination information was made in use to analyze the variations of maximum entropy probability density distribution that can judge the state of machine tool spindle system. The results show that in the X2 direction, the workpiece spindle in the example has tiny degradation.%采用最大熵原理与鉴别信息方法对M1432B型磨床工件主轴X2方向退化进行分析:用最大熵原理获得工件主轴在4 ~10月份振动信号最大熵概率密度分布,再用鉴别信息对该概率密度分布变化进行计算,通过鉴别信息变化判断主轴系统状态的变化,结果表明,M1432B型磨床工件主轴x2方向发生微小退化.

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