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Shock and Vibration
Volume 2015, Article ID 139217, 10 pages
http://dx.doi.org/10.1155/2015/139217
Research Article

NC Machine Tools Fault Diagnosis Based on Kernel PCA and -Nearest Neighbor Using Vibration Signals

College of Mechanical Engineering of Wenzhou University, Wenzhou 325035, China

Received 13 January 2015; Accepted 15 February 2015

Academic Editor: Changjun Zheng

Copyright © 2015 Zhou Yuqing 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 [2 citations]

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

  • Moisés Silva, Adam Santos, Reginaldo Santos, Eloi Figueiredo, Claudomiro Sales, and João C.W.A. Costa, “Agglomerative concentric hypersphere clustering applied to structural damage detection,” Mechanical Systems and Signal Processing, vol. 92, pp. 196–212, 2017. View at Publisher · View at Google Scholar
  • Moussa Hamadache, Dongik Lee, Emiliano Mucchi, and Giorgio Dalpiaz, “Vibration-Based Bearing Fault Detection and Diagnosis via Image Recognition Technique Under Constant and Variable Speed Conditions,” Applied Sciences, vol. 8, no. 8, pp. 1392, 2018. View at Publisher · View at Google Scholar