A novel virtual metrology scheme for predicting machining precision of machine tools

Hao Tieng, Haw Ching Yang, Min Hsiung Hung, Fan Tien Cheng

研究成果: Conference contribution

12 引文 (Scopus)

摘要

Because virtual metrology (VM) can achieve real-time and on-line total inspection, it is a promising way for measuring machining precision of machine tools. However, the machining processes possess the characteristics of severe vibrations. Thus, how to effectively handle signals with low signal/noise ratios and extract key features from them is a challenging issue for successfully applying VM to the machine tools. In this paper, a novel VM scheme for predicting machining precision of machine tools is proposed based on several previously developed methods for data quality evaluation, model reliance evaluation, and machining precision prediction. Besides, for data preprocess, we propose a Wavelet-based de-noising method to improve the S/N ratio of sensor data. In addition, we base on the stepwise technique to develop an automatic feature selection method that can extract key features related to machining operations in time, frequency, and time-frequency domains, and can reduce the dimension of essential features. Testing results of a 3-axis CNC machine center machining standard workpieces show that the VMS can achieve the performance that the maximum average error of machining-precision conjecture is less than 2 um and the conjecture of 20 machining-precision items can be completed within 3.8 sec.

原文English
主出版物標題2013 IEEE International Conference on Robotics and Automation, ICRA 2013
頁面264-269
頁數6
DOIs
出版狀態Published - 2013 十一月 14
事件2013 IEEE International Conference on Robotics and Automation, ICRA 2013 - Karlsruhe, Germany
持續時間: 2013 五月 62013 五月 10

出版系列

名字Proceedings - IEEE International Conference on Robotics and Automation
ISSN(列印)1050-4729

Other

Other2013 IEEE International Conference on Robotics and Automation, ICRA 2013
國家Germany
城市Karlsruhe
期間13-05-0613-05-10

指紋

Machine tools
Machining
Machining centers
Feature extraction
Inspection
Sensors
Testing

All Science Journal Classification (ASJC) codes

  • Software
  • Control and Systems Engineering
  • Artificial Intelligence
  • Electrical and Electronic Engineering

引用此文

Tieng, H., Yang, H. C., Hung, M. H., & Cheng, F. T. (2013). A novel virtual metrology scheme for predicting machining precision of machine tools. 於 2013 IEEE International Conference on Robotics and Automation, ICRA 2013 (頁 264-269). [6630586] (Proceedings - IEEE International Conference on Robotics and Automation). https://doi.org/10.1109/ICRA.2013.6630586
Tieng, Hao ; Yang, Haw Ching ; Hung, Min Hsiung ; Cheng, Fan Tien. / A novel virtual metrology scheme for predicting machining precision of machine tools. 2013 IEEE International Conference on Robotics and Automation, ICRA 2013. 2013. 頁 264-269 (Proceedings - IEEE International Conference on Robotics and Automation).
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Tieng, H, Yang, HC, Hung, MH & Cheng, FT 2013, A novel virtual metrology scheme for predicting machining precision of machine tools. 於 2013 IEEE International Conference on Robotics and Automation, ICRA 2013., 6630586, Proceedings - IEEE International Conference on Robotics and Automation, 頁 264-269, 2013 IEEE International Conference on Robotics and Automation, ICRA 2013, Karlsruhe, Germany, 13-05-06. https://doi.org/10.1109/ICRA.2013.6630586

A novel virtual metrology scheme for predicting machining precision of machine tools. / Tieng, Hao; Yang, Haw Ching; Hung, Min Hsiung; Cheng, Fan Tien.

2013 IEEE International Conference on Robotics and Automation, ICRA 2013. 2013. p. 264-269 6630586 (Proceedings - IEEE International Conference on Robotics and Automation).

研究成果: Conference contribution

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Tieng H, Yang HC, Hung MH, Cheng FT. A novel virtual metrology scheme for predicting machining precision of machine tools. 於 2013 IEEE International Conference on Robotics and Automation, ICRA 2013. 2013. p. 264-269. 6630586. (Proceedings - IEEE International Conference on Robotics and Automation). https://doi.org/10.1109/ICRA.2013.6630586