Dr. Lokesha M

Designation: 
Professor
Department: 
Mechanical Engineering
Qualification: B.E, M.Tech,PhD
Experience: 27 Years (Teaching)
Dr M. Lokesha is a Professor in the Department of Mechanical Engineering since 2014. He earned doctorate degree from National Institute of Technology, Durgapur, West Bengal in the area of condition monitoring and Master’s from Sri Jayachamarajendra College of Engineering, Mysore in Maintenance Engineering. He completed Bachelors in Mechanical Engineering from Adichunchanagiri Institute of Technology, Chickmagalur. His professional experience includes 13 years of teaching in India and 14 years of teaching in 3 overseas countries, totalling 27 years. During his tenure, he has published many research papers and study materials in condition monitoring and CAD/CAM field. His areas of research are condition monitoring and signal analysis, mechanical vibration analysis and control, artificial intelligence. He is on the editorial board and technical reviewer for many international journals and conferences
 
 

Research Interest

Vibration measurement analysis and control, Condition Monitoring of rotating Machinery, Fault diagnosis and ANN application

Publications

International Journals

  • M.Lokesha, Samson Alemayehu( 2002) Air spring suspension system using tennis balls. Journal of faculty of engineering, Defense University, volume 2 issue 2. PP 15-18

  • Lokesha, M., Manik Chandra Majumder, Ramachandran, K.P. and Khalid Fathi Abdul Raheem (2011) Fault diagnosis in gears using wavelet envelop power spectrum. International Journal of Engineering, Science and Technology, Vol. 3 (8), pp. 156-167.

  • Praneeth Chandran, Lokesha, M., Majumder, M.C. and Khalid Fathi Abdul Raheem (2012) Gear fault diagnosis using Laplace wavelet kurtosis and wavelet statistical parameters. International Journal of Multidisciplinary Sciences and Engineering, Vol. 3 (9), pp. 1-8.

  • Praneeth Chandran, Lokesha, M., Majumder, M.C. and Ramachandran, K.P. (2013) Laplace and Morlet wavelet analysis for gear fault diagnosis: A comparative study. International Journal of Innovative Technology and Exploring Engineering, Vol. 3 (1), pp. 31-35

  • Lokesha, M., Manik Chandra Majumder, Ramachandran, K.P. and Khalid Fathi Abdul Raheem (2013) Wavelet enveloped power spectrum and optimal filtering for fault diagnosis in gear. International Journal of Scientific Engineering and Technology, Vol. 2 (7), pp. 656-664

  • Lokesha, M., Manik Chandra Majumder, Ramachandran, K.P. and Khalid Fathi Abdul Raheem (2013) Fault detection and diagnosis in gears using wavelet enveloped power spectrum and ANN. International Journal of Research in Engineering and Technology, Vol. 9 (2), pp. 146-158

  • Priya Priya s. Nandral, Lokesha.M (2015)Security Integrated System Using 3 DOF Robotic Lamps Along With SMS Alert International Journal of Electrical and Electronics Research Vol. 3, Issue 2, pp 378-382

  • M. Lokesha, M. C. Majumder, and K. P. Ramachandran (2015) Fault Detection and Diagnosis in Gears Using Wavelet Analysis Techniques and Comparison on their Diagnostic Capability, , journal of Applied Mechanics and Materials,Volume: Manufacturing Science and Technology VI, Trans Tech publications Inc, page ISBN 978-3-03835-543-4 pp587-591.

  • Abdulrahman Abdulshakoor Al Bulushi,G.R. Rameshkumar and M. Lokesha (2015) Fault Diagnosis in Belts using Time and Frequency based Signal Processing Techniques, International Journal of Multidisciplinary Sciences And Engineering, Vol. 6, No. 11, November 2015 page 12-20

  • Lestin Jills Joseph , Lokesha.M (2016) Arduino based real time driver drowsiness detection and mobile alert system using Bluetooth, International Journal Of Engineering And Computer Science ISSN:2319-7242 Volume 5 Issue 09 September 2016 Page No.18106-18111

International Conferences

  • Lokesha, M., Manik Chandra Majumder, Ramachandran, K.P. and Khalid Fathi Abdul Raheem (2012) Fault diagnosis in gears using Laplace wavelet kurtosis. Proceedings of International Conference on Challenges and Opportunities in Mechanical Engineering, Industrial Engineering and Management Studies, (ICCOMIM - 2012), pp. 170-174

  • Praneeth Chandran, Nabeel Ahmed, Lokesha, M. and Khalid Fathi Abdul Raheem (2012) Application of wavelet analysis and ANN for fault diagnosis of gears. Proceedings of the 3rd International Conference on Production Energy and Reliability (ICPER 2012), paper number 1569602551, Universiti of Teknologi, PETRONAS, Malaysia, ISBN-978-983-2271-82-6

  • M. Lokesha,M. C. Majumder and K. P. Ramachandran(2015) Fault Detection and Diagnosis in Gears Using Wavelet Analysis Techniques and Comparison on their Diagnostic Capability. 6th International Conference on Mechanical, Industrial, and Manufacturing Technologies (MIMT 2015), 6th 7th March 2015, Melaka Malaysia

  • Neelakantha V. Londe,T Jayaraju,CR Rajashekar, T K Chandrashekar,Lokesha M,V Ramesha (2015) Determination of Fracture Toughness in Tensile Fracture and Fatigue Fracture of Steels, International Conference on Aeronautical, Robotics and Manufacturing Engineering (ARME'2015) Bangkok (Thailand)

 

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