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A comparative study of sound and vibration signals in detection of rotating machine faults using support vector machine and independent component analysis

Publication Type : Journal Article

Publisher : International Journal of Data Analysis Techniques and Strategies

Source : International Journal of Data Analysis Techniques and Strategies, International journal Data Analysis Techniques and Strategies, Volume 6, Number 2, p.188–204 (2014)

Url : http://www.inderscienceonline.com/doi/abs/10.1504/IJDATS.2014.062458

Campus : Coimbatore

School : School of Engineering

Center : Computational Engineering and Networking

Department : Mechanical Engineering

Verified : Yes

Year : 2014

Abstract : M. Saimurugan obtained his BE in Mechanical Engineering at Kongu Engineering College, Erode under Bharathiar University, Coimbatore in 1998. He completed his ME in Computer Aided Design at Government College of Engineering, Salem under Periyar University, Salem in 2000. Then, he started his career as a Lecturer at Amrita Institute of Technology, Coimbatore. He has published one international journal paper and four international conference papers. Currently, he is working as an Assistant Professor at Amrita Vishwa Vidyapeetham, Coimbatore and is doing his PhD on vibration and sound-based fault diagnosis of rotating machines.

Cite this Research Publication : Dr. Saimurugan M. and Dr. K. I. Ramachandran, “A comparative study of sound and vibration signals in detection of rotating machine faults using support vector machine and independent component analysis”, International Journal of Data Analysis Techniques and Strategies, vol. 6, pp. 188–204, 2014.


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