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Abstract and Applied Analysis
Volume 2014, Article ID 625814, 8 pages
http://dx.doi.org/10.1155/2014/625814
Research Article

A Novel Data-Driven Fault Diagnosis Algorithm Using Multivariate Dynamic Time Warping Measure

1Department of Computer Science, University of California, Santa Barbara, CA 93106, USA
2School of Information Science and Technology, Bohai University, No. 19, Keji Road, Jinzhou 121013, China
3Department of Engineering, Faculty of Engineering and Science, University of Agder, 4898 Grimstad, Norway
4Research Institute of Intelligent Control and Systems, Harbin Institute of Technology, Harbin 150080, China

Received 31 March 2014; Accepted 1 May 2014; Published 15 May 2014

Academic Editor: Josep M. Rossell

Copyright © 2014 Jiangyuan Mei 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

Jiangyuan Mei, Jian Hou, Hamid Reza Karimi, and Jiarao Huang, “A Novel Data-Driven Fault Diagnosis Algorithm Using Multivariate Dynamic Time Warping Measure,” Abstract and Applied Analysis, vol. 2014, Article ID 625814, 8 pages, 2014. https://doi.org/10.1155/2014/625814.