Abstract：spindle system is a common component of the machine tool. The state of the spindle system have serious implication on workpiece to be machined, So the detection of the spindle system is necessary. In this paper, the method of maximum entropy and discrimination information were applied for the degradation analysis of the X2 direction of the M1432 griding machine from April to October. First , we use the maximum entropy prinple to obtain accurate maximum entropy probability density distribution of the vibration, then, use the discrimination information to analyze the changes of maximum entropy probability density distribution that can judge the state of the spindle system of the machine tool. The results show that the X2 direction of the workpiece spindle of the M1432B grinding machine have tiny degradation.
董新峰;李郝林;余慧杰 . 基于最大熵原理与鉴别信息的机床主轴系统退化分析[J]. , 2013, 32(5): 62-64.
ONG Xin-feng;LI Hao-lin;YU Hui-jie. Degradation analysis of the spindle of machine tool based on maximum entropy and discrimination information. , 2013, 32(5): 62-64.
2013, Vol. 32 
