Total precision inspection of machine tools with virtual metrology

Hao Tieng, Haw Ching Yang, Fan Tien Cheng

研究成果: Conference contribution

1 引文 斯高帕斯(Scopus)

摘要

The purpose of this study is trying to apply VM [1][2] for measuring machining precision of machine tools. As shown in the left portion of Fig. 1, the AV M server [3] needs process data, which contain sensor data and machining parameters, as inputs for predicting machining accuracies. However, most machine tools do not possess sensors for providing raw process data such as vibration, current, etc. Furthermore, machining operations usually possess severe vibrations and loud noises. It makes the raw data collected from sensors attached to machine tools with low signal-to-noise (S/N) ratios, thereby affecting the prediction accuracy of VM. Even though the AVM has been an effective way to conduct workpiece measurements in high-tech industries [1], there exist challenges when applying the AVM to machining industry. Besides embedding essential sensors on the machine tool effectively, the challenges are 1) Segmentation: to accurately segment essential part of the raw process data from the original NC file, 2) Data Cleaning: to effectively handle raw process/sensor data with low S/N ratios, and 3) Feature Extraction: to properly extract significant features from the segmented raw process data. This work proposes a novel GED-plus-AVM (GAVM) system as depicted in Fig.1 to resolve all the challenges mentioned above. These challenges are judiciously addressed and successfully resolved in this paper.

原文English
主出版物標題2015 IEEE Conference on Automation Science and Engineering
主出版物子標題Automation for a Sustainable Future, CASE 2015
發行者IEEE Computer Society
頁面1446-1447
頁數2
ISBN(電子)9781467381833
DOIs
出版狀態Published - 2015 10月 7
事件11th IEEE International Conference on Automation Science and Engineering, CASE 2015 - Gothenburg, Sweden
持續時間: 2015 8月 242015 8月 28

出版系列

名字IEEE International Conference on Automation Science and Engineering
2015-October
ISSN(列印)2161-8070
ISSN(電子)2161-8089

Other

Other11th IEEE International Conference on Automation Science and Engineering, CASE 2015
國家/地區Sweden
城市Gothenburg
期間15-08-2415-08-28

All Science Journal Classification (ASJC) codes

  • 控制與系統工程
  • 電氣與電子工程

指紋

深入研究「Total precision inspection of machine tools with virtual metrology」主題。共同形成了獨特的指紋。

引用此