• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Mechanical systems and signal processing >Reliability analysis of thermal error model based on DBN and Monte Carlo method
【24h】

Reliability analysis of thermal error model based on DBN and Monte Carlo method

机译：基于DBN和Monte Carlo方法的热误差模型可靠性分析

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

A physically-based thermal error model of the servo axis was established, aiming at the time-varying nonlinear thermal error of the screw. However, the thermal characteristic parameters of the model may differ from the working state of the machine tool. In order to analyze the influence of the variation of the thermal characteristic parameters on the prediction results of the model, and considering that the performance functions of the physically-based servo axis thermal error model are implicit and have no explicit analytical expression, a new method for calculating model reliability using deep belief network (DBN) and the Monte Carlo method was presented, and DBN was used to substitute the implicit functions. The reliability and residual prediction of the model with single parameter and multi-parameter fluctuations was determined. Finally, the robustness of the model and the accuracy of the proposed reliability calculation method were experimentally verified.
机译：建立了伺服轴的物理基于基于伺服轴的热误差模型，针对螺钉的时变非线性误差。然而，模型的热特性参数可能与机床的工作状态不同。为了分析热特性参数变化对模型预测结果的影响，并考虑到物理基伺服轴热误差模型的性能功能是隐式的，并且没有明确的分析表达式，一种新方法为了使用深度信仰网络（DBN）计算模型可靠性，并提出了蒙特卡罗方法，并且使用DBN来代替隐式功能。确定了单一参数和多参数波动的模型的可靠性和剩余预测。最后，实验验证了模型的鲁棒性和所提出的可靠性计算方法的准确性。

著录项

  • 来源
    《Mechanical systems and signal processing》 |2021年第1期|107020.1-107020.15|共15页
  • 作者

    Kuo Liu; Jiakun Wu; Haibo Liu; Mingjia Sun; Yongqing Wang;

  • 作者单位

    Key Laboratory for Precision and Non-traditional Machining Technology of Ministry of Education Dalian University of Technology Dalian 116024 China State Key Lab of Digital Manufacturing Equipment & Technology Huazhong University of Science and Technology Wuhan 430074 China The Key Laboratory of Vibration and Control of Aero-propulsion System Northeastern University Shenyang 110819 China;

    State Key Laboratory of Fluid Power Transmission and Control Zhejiang University Hangzhou 310027 China;

    Key Laboratory for Precision and Non-traditional Machining Technology of Ministry of Education Dalian University of Technology Dalian 116024 China;

    Key Laboratory for Precision and Non-traditional Machining Technology of Ministry of Education Dalian University of Technology Dalian 116024 China;

    Key Laboratory for Precision and Non-traditional Machining Technology of Ministry of Education Dalian University of Technology Dalian 116024 China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Deep belief network; Machine tool; Monte Carlo; Physically-based model; Reliability;

    机译：深度信仰网络;机床;蒙特卡洛;基于物理的模型;可靠性;

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