智能主轴状态监测诊断与振动控制研究进展

doi:10.3901/JME.2018.19.058

机械工程学报 ›› 2018, Vol. 54 ›› Issue (19): 58-69.doi: 10.3901/JME.2018.19.058

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智能主轴状态监测诊断与振动控制研究进展

陈雪峰^1,2, 张兴武^1,2, 曹宏瑞^1,2

1. 西安交通大学高端制造装备协同创新中心西安 710054;
2. 西安交通大学机械制造系统工程国家重点实验室西安 710054

收稿日期:2017-10-11 修回日期:2018-03-07 出版日期:2018-10-05 发布日期:2018-10-05
通讯作者: 陈雪峰(通信作者),男,1975年出生,博士,教授,博士研究生导师。主要研究方向为有限元动态分析与数字化制造,机械故障诊断、安全监测与寿命预测,大数据与智能制造。E-mail:chenxf@mail.xjtu.edu.cn
作者简介:张兴武,男,1984年出生,博士,副教授,硕士研究生导师。主要研究方向为小波有限元动力学分析,振动优化控制与智能制造。E-mail:xwzhang@mail.xjtu.edu.cn;曹宏瑞,男,1982年出生,博士,副教授,博士研究生导师。主要研究方向为智能主轴动力学建模,故障诊断,数字化制造。E-mail:chr@mail.xjtu.edu.cn
基金资助:
国家自然科学基金资助项目（51775408，51575423）。

Advances in Condition Monitoring, Diagnosis and Vibration Control of Smart Spindles

CHEN Xuefeng^1,2, ZHANG Xingwu^1,2, CAO Hongrui^1,2

1. Collaborative Innovation Center of High-end Manufacturing Equipment, Xi'an Jiaotong University, Xi'an 710054;
2. State Key Laboratory Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an 710054

Received:2017-10-11 Revised:2018-03-07 Online:2018-10-05 Published:2018-10-05

摘要/Abstract

摘要： 智能主轴兼具加工状态感知、决策与执行三大特征，可实现加工状态的自反馈与自控制，是智能制造的核心部件，是工业4.0和中国制造2025的基础支撑技术，是下一代主轴的技术发展方向。状态监测诊断与振动控制作为智能主轴三大功能特征的典型体现，是保障智能主轴高效运行的核心技术。因此，针对智能主轴的监测诊断与振动控制问题，以故障高发部件以及功能失效模式的监测、诊断与控制为线索，系统综述当前的国内外研究现状，归纳存在的问题并提出潜在的发展趋势。

关键词: 故障诊断, 振动控制, 智能主轴, 状态监测

Abstract: The intelligent spindle possesses three major characteristics of processing state perception, decision-making and execution. It can realize self-feedback and self-control of machining status, which is the core component of intelligent manufacturing. It is the basic supporting technology for "Industrie 4.0" and "Made in China 2025" and the development direction for next-generation spindle technology. Condition monitoring, diagnosis and vibration control, as the typical embodiment of the three major functional features, are the core technologies for ensuring the efficient operation of intelligent spindles. Therefore, aiming at alleviating the problem of monitoring, diagnosis and vibration control of intelligent spindle, and with the monitoring, diagnosis and control of high-failure parts and failure modes as the clues, the current research status both at home and abroad is systematically summarized, the existing problems are concluded and the potential development trends are proposed.

Key words: condition monitoring, fault diagnosis, smart spindle, vibration control

中图分类号:

TH12
TB535

陈雪峰, 张兴武, 曹宏瑞. 智能主轴状态监测诊断与振动控制研究进展[J]. 机械工程学报, 2018, 54(19): 58-69.

CHEN Xuefeng, ZHANG Xingwu, CAO Hongrui. Advances in Condition Monitoring, Diagnosis and Vibration Control of Smart Spindles[J]. Journal of Mechanical Engineering, 2018, 54(19): 58-69.

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智能主轴状态监测诊断与振动控制研究进展

Advances in Condition Monitoring, Diagnosis and Vibration Control of Smart Spindles

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