4.3 Article

Characteristic recognition of chatter mark vibration in a rolling mill based on the non-dimensional parameters of the vibration signal

Journal

JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY
Volume 28, Issue 6, Pages 2075-2080

Publisher

KOREAN SOC MECHANICAL ENGINEERS
DOI: 10.1007/s12206-014-0106-6

Keywords

Rolling mill; Chatter mark vibration; Kurtosis; Probability density function

Funding

  1. Ningbo Baoxin Stainless Steel Co., Ltd.
  2. National Natural Science Key Foundation of China [51035008]

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Detecting chatter mark vibration in rolling mills operating under normal working conditions is difficult. A novel characteristic recognition method of chatter mark vibration, where the non-dimensional parameters are calculated with time varying signals and kurtosis under normal rolling mill operating conditions, is presented in this paper. The character of the chatter mark vibration signal is obtained by calculating the kurtosis value of each vibration signal segment obtained by subdividing the raw time varying vibration signal. The probability density function is utilized to reveal obvious differences between signals with respect to the normal and chatter conditions. The method overcomes the limitation of traditional spectrum analysis, which is sensitive to working conditions. Numerical simulation and experimental results show that the proposed method has better recognition capability than traditional spectrum analysis.

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