基于经验模型铣削系统间接能效状态识别
2019-01-17
作者：袁键键，邵华
单位：上海交通大学
摘要：为解决铣削系统间接能效状态识别的问题，对机床能效状态进行研究。通过研究铣床空载条件下主轴传动过程中的能效变化机理，建立了铣床主轴系统的能效模型。进行了空载试验，获取了新旧机床在不同转速条件下的系统输入功率，提取了信号特征，识别了机床间接能效状态。试验结果表明，基于建立的模型和提取的信号特征能够识别铣削系统的间接能效状态。这为绿色制造中的节能技术提供了依据，为智能在线监测拓展了新领域。
关键词：间接能效；铣削系统；信号特征
中图分类号：TG54；TH162文献标志码：ADOI：10.3969/j.issn.1000-7008.2019.01.027
Indirect Energy Efficiency State Identification Based on Empirical
Model for Milling System
Yuan Jianjian，Shao Hua
Abstract:In order to solve the problem of indirect energy efficiency identification of milling system，the energy efficiency state of machine tools is studied.The energy efficiency model of the milling machine spindle system is established by studying the energy efficiency change mechanism of the spindle transmission under the condition of noload.Noload test is carried out to obtain the system input power of new and old machine tools under different rotational speeds.Signal characteristics are extracted to identify the indirect energy efficiency status of machine tools.The experimental results show that the indirect energy efficiency state of the milling system can be identified based on the established model and the extracted signal features.This will provide an evaluation basis for energy saving technology in green manufacturing，and expand a new field for intelligent online monitoring.
Keywords:indirect efficiency；milling system；signal feature