• CN: 11-2187/TH
  • ISSN: 0577-6686

Journal of Mechanical Engineering ›› 2018, Vol. 54 ›› Issue (17): 181-189.doi: 10.3901/JME.2018.17.181

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Residual Life Prediction for NC Machine Tool Based on Performance Degradation

DENG Chao, TAO Zhikui, WU Jun, QIAN Yousheng, XIA Shuang   

  1. School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074
  • Received:2017-10-19 Revised:2018-02-18 Online:2018-09-05 Published:2018-09-05

Abstract: Life prediction technology is the key technology to the healthy management and the maintenance of the NC machine tool. It is aimed at the NC machine tool to study residual life prediction method based on the performance degradation. Firstly, the relationship between residual life and performance degradation and performance threshold distribution is analysed. A Wiener process model is established to describe the single performance degradation, and the Wiener process to the fusion of multi performance Wiener process is put forward to predict the performance degradation parameter in multi performance condition for NC machine tool. Then, a performance threshold distribution model is built according to failure principle. The probability density function of residual life is obtained by establishing a life prediction model based on the threshold distribution. Finally,the experiment is carried out on the test platform for feed system of CNC machine tools, so that the fusion of multi performance Wiener processanalysis and the residual life prediction method are verified.

Key words: failure principle, NC machine tool, performance degradation modeling, residual life prediction, Wiener process

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