• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>IEEE International Conference on Information and Automation >Prognostic Experiment for Ball Screw Preload Loss of Machine Tool through the Hilbert-Huang Transform and Multiscale Entropy Method
【24h】

Prognostic Experiment for Ball Screw Preload Loss of Machine Tool through the Hilbert-Huang Transform and Multiscale Entropy Method

机译：通过Hilbert-Huang变换和多尺度熵方法，滚珠丝杠预紧滚珠损耗的预后实验

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

This paper attempts to detect and predict the preload loss and life time of the ball screw demands in the machine tool industry. Loss of preload leads to a lower natural frequency and the onset of the nonlinear spring characteristics of the ball screw. Such problems result in rapid downtime in the manufacturing process and gradually undetermined positioning errors. In this paper the preload features are extracted and discriminated using the Hilbert-Huang Transform (HHT) and Multiscale entropy (MSE) method. The starting torque and consecutive quasi steady state constant currents of the machine tool feeding table are conducted experimentally. The test results show the prognostic status of ball screw preload loss can be envisaged by the proposed methodology.
机译：本文试图检测和预测机床行业中滚珠丝杠所需的预载损耗和终生动时间。预载损失导致滚珠丝杠的较低的固有频率和非线性弹簧特性的起始。这些问题导致制造过程中快速停机，逐渐不确定定位误差。本文使用Hilbert-Huang变换（HHT）和多尺度熵（MSE）方法提取和区分预加载特征。机床馈电表的起始扭矩和连续的准稳态恒定电流实验进行。测试结果表明，通过所提出的方法可以设想滚珠丝杠预载损失的预后状态。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号