复杂特征下数控机床状态整体监控应用研究

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英文篇名：Research on Application of NC Machine Tool State Monitoring under Complex Characteristics 作者：陈学振 ; 宋智勇 ; 李颖 ; 王丰 ; 李连玉 英文作者：CHEN Xuezhen;SONG Zhiyong;LI Ying;WANG Feng;LI Lianyu;NC Machine Tool Works, AVIC Chengdu Aircraft Industrial (Group) Co., Ltd.;University of Electronic Science and Technology of China; 关键词：数控机床 ; 状态监控 ; 特征频率 ; 频谱分析 英文关键词：Numerical control machine;;Condition monitoring;;Characteristic frequency;;Spectrum analysis 中文刊名：JCYY 英文刊名：Machine Tool & Hydraulics 机构：成都飞机工业(集团)有限责任公司数控加工厂;电子科技大学; 出版日期：2019-06-15 出版单位：机床与液压 年：2019 期：v.47;No.485 基金：“高档数控机床与基础制造装备”国家科技重大专项:国产五轴联动数控机床柔性生产线及生产单元飞机结构件应用示范(2015ZX04001002) 语种：中文; 页：JCYY201911045 页数：6 CN：11 ISSN：44-1259/TH 分类号：197-202

摘要

传统的基于数控机床关键部件的故障预警研究具有一定的工程应用局限性,如传感器寿命问题、测试步骤繁琐问题等。通过对关键部件的故障频率进行深入研究,并考虑特殊结构情况下的信号减震及关键部件之间相互影响,提出了Daubechies滤波和Fourier频谱相结合的信号分析策略,改变了原有的传感器安装到具体部件的方式,提出了宏观的整体测试方法。最后,通过数控机床整体测试和单点测试对比研究,验证了基于特征频率的机床整体测试研究方法的正确性。
        The traditional fault warning research based on the key components of numerical control(NC)machines have some limitations in engineering applications, such as sensor life problems and tedious testing procedures. By researching deeply the fault frequency of key components, and considering the shock absorption of the special structure and the interaction between the key components, a signal analysis method combining Daubechies filter with Fourier spectrum is proposed. The method of installing the original sensors into the specific components was changed, and a macroscopic overall test method was put forward. Finally, through the compared researching of overall test and single point test, the correctness of the overall testing method based on characteristic frequency is verified.

引文

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