APPLICATION OF ENTROPY FUNCTIONS IN ONLINE VIBRATION CLASSIFICATION FOR CYLINDRICAL PLUNGE GRINDING

被引：3

作者：

FU, JC

MORI, K

YOKOMICHI, M

机构：

[1] Mechanical Engineering Laboratory, Tsukuba, Ibaraki

[2] Nagano Industrial Precision Research Institute, Mechanical Engineering Laboratory, Tsukuba, Ibaraki

[3] Manufacturing Information Division, Mechanical Engineer Laboratory, Tsukuba, Ibaraki

来源：

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH | 1994年 / 32卷 / 06期

关键词：

D O I：

10.1080/00207549408957011

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

During cylindrical grinding processes, two types of regenerative chatter-workpiece and grinding wheel-may degrade the accuracy of the surface finish. To maintain productivity and quality, a closed-loop vibration control system should be provided for the grinding system. An algorithm for automated classification of chatter by type is essential in developing such a system. In this paper, an entropy technique is introduced to classify regenerative chatter by type based on the vibration spectrum. the performance of this scheme is compared with that of a neural network approach. Experimental results show that the entropy system yields the same performance as the neural network. Because the entropy technique has several practical advantages, it may be judged preferable for monitoring of cylindrical grinding chatter. This paper also describes the theoretical background of the entropy technique in classifying regenerative chatter.

引用

页码：1477 / 1487

页数：11

共 17 条

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