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Shock and Vibration
Volume 2016, Article ID 1040942, 10 pages
http://dx.doi.org/10.1155/2016/1040942
Research Article

An Investigation into Error Source Identification of Machine Tools Based on Time-Frequency Feature Extraction

College of Mechanical Engineering & Applied Electronics Technology, Beijing University of Technology, Beijing 100124, China

Received 19 June 2015; Revised 30 October 2015; Accepted 15 November 2015

Academic Editor: Toshiaki Natsuki

Copyright © 2016 Dongju Chen et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [3 citations]

The following is the list of published articles that have cited the current article.

  • Jingjing Sun, Zhanjie Song, Gaiyun He, and Yicun Sang, “An improved signal determination method on machined surface topography,” Precision Engineering, 2017. View at Publisher · View at Google Scholar
  • Bhumi Ankit Shah, and Dipak P. Vakharia, “Online condition monitoring for detection of crack in the shaft using vibration analysis method,” Industrial Lubrication and Tribology, 2018. View at Publisher · View at Google Scholar
  • Chenhui An, Jianguo Miao, Congying Deng, and Deping Yu, “Investigation on the generation of the waviness errors along feed-direction on flycutting surfaces,” International Journal of Advanced Manufacturing Technology, vol. 96, no. 1-4, pp. 1457–1465, 2018. View at Publisher · View at Google Scholar