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Timely online chatter detection in end milling process

机译：立铣过程中及时在线颤动检测

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摘要

Chatter is one of the most unexpected and uncontrollable phenomenon during the milling operation. It is very important to develop an effective monitoring method to identify the chatter as soon as possible, while existing methods still cannot detect it before the workpiece has been damaged. This paper proposes an energy aggregation characteristic-based Hilbert-Huang transform method for online chatter detection. The measured vibration signal is firstly decomposed into a series of intrinsic mode functions (IMFs) using ensemble empirical mode decomposition. Feature IMFs are then selected according to the majority energy rule. Subsequently Hilbert spectral analysis is applied on these feature IMFs to calculate the Hilbert time/frequency spectrum. Two indicators are proposed to quantify the spectrum and thresholds are automatically calculated using Gaussian mixed model. Milling experiments prove the proposed method to be effective in protecting the workpiece from severe chatter damage within acceptable time complexity.
机译：颤振是铣削过程中最出乎意料且不可控制的现象之一。开发一种有效的监控方法以尽快识别震颤是非常重要的，而现有方法仍然无法在工件损坏之前对其进行检测。提出了一种基于能量聚集特性的希尔伯特-黄变换在线颤动检测方法。首先，使用整体经验模式分解将测得的振动信号分解为一系列固有模式函数（IMF）。然后根据多数能量规则选择特征IMF。随后，对这些功能IMF进行希尔伯特频谱分析，以计算希尔伯特时间/频谱。提出了两个指标来量化频谱，并使用高斯混合模型自动计算阈值。铣削实验证明，所提出的方法可以有效地保护工件在可接受的时间复杂度内免受严重的震颤损害。

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  • 来源
    《Mechanical systems and signal processing》 |2016年第6期|668-688|共21页
  • 作者

    Yang Fu; Yun Zhang; Huamin Zhou; Dequn Li; Hongqi Liu; Haiyu Qiao; Xiaoqiang Wang;

  • 作者单位

    State Key Laboratory of Material Processing and Die & Mold Technology, Huazhong University of Science and Technology, Wuhan, 430074, PR China;

    State Key Laboratory of Material Processing and Die & Mold Technology, Huazhong University of Science and Technology, Wuhan, 430074, PR China;

    State Key Laboratory of Material Processing and Die & Mold Technology, Huazhong University of Science and Technology, Wuhan, 430074, PR China;

    State Key Laboratory of Material Processing and Die & Mold Technology, Huazhong University of Science and Technology, Wuhan, 430074, PR China;

    National NC System Engineering Research Center, Huazhong University of Science and Technology, Wuhan, 430074, PR China;

    State Key Laboratory of Material Processing and Die & Mold Technology, Huazhong University of Science and Technology, Wuhan, 430074, PR China;

    State Key Laboratory of Material Processing and Die & Mold Technology, Huazhong University of Science and Technology, Wuhan, 430074, PR China;

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

    Chatter detection; Hilbert-Huang transform; Energy aggregation; Online;

    机译：颤振检测;Hilbert-Huang变换;能量聚集;线上;

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