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Shock and Vibration
Volume 2015, Article ID 106945, 12 pages
http://dx.doi.org/10.1155/2015/106945
Research Article

Artificial Neural Network Model for Monitoring Oil Film Regime in Spur Gear Based on Acoustic Emission Data

Department of Applied Mechanics and Design, Faculty of Mechanical Engineering, Universiti Teknologi Malaysia (UTM), Johor Bahru, 81310 Johor, Malaysia

Received 28 December 2014; Accepted 2 March 2015

Academic Editor: Mickaël Lallart

Copyright © 2015 Yasir Hassan Ali 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.

  • Minghu Yin, Guoding Chen, and Hua Su, “Theoretical and experimental studies on dynamics of double-helical gear system supported by journal bearings,” Advances In Mechanical Engineering, vol. 8, no. 5, 2016. View at Publisher · View at Google Scholar
  • Ahmadi Najafabadi Mehdi, Akhlaghi Mehdi, and Hosseini Sadegh, “Classification of acoustic emission signals generated from journal bearing at different lubrication conditions based on wavelet analysis in combination with artificial neural network and genetic algorithm,” Tribology International, vol. 95, pp. 426–434, 2016. View at Publisher · View at Google Scholar
  • Artur Krol, and Krzysztof Gocman, “Prediction of synthetic oil parameters by artificial neural networks at durability tests of porous bearings,” Proceedings Of The Estonian Academy Of Sciences, vol. 65, no. 2, pp. 123–131, 2016. View at Publisher · View at Google Scholar