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Shock and Vibration
Volume 2017 (2017), Article ID 9186989, 1 page
https://doi.org/10.1155/2017/9186989
Editorial

Intelligent Fault Diagnosis Based on Vibration Signal Analysis

1Department of Mathematical Modelling, Kaunas University of Technology, LT-51368 Kaunas, Lithuania
2School of Reliability and Systems Engineering, Beihang University, Beijing 100191, China
3Department of Mechanical Engineering, University of Houston, Houston, TX 77204, USA
4Department of Mechanical Engineering, The Petroleum Institute, Abu Dhabi, UAE

Correspondence should be addressed to Minvydas Ragulskis; tl.utk@sikslugar.sadyvnim

Received 30 January 2017; Accepted 30 January 2017; Published 19 February 2017

Copyright © 2017 Minvydas Ragulskis 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.

How to Cite this Article

Minvydas Ragulskis, Lu Chen, Ganging Song, and Ameen El Sinawi, “Intelligent Fault Diagnosis Based on Vibration Signal Analysis,” Shock and Vibration, vol. 2017, Article ID 9186989, 1 pages, 2017. doi:10.1155/2017/9186989