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Dr. Saimurugan M.

Associate Professor

Dr. Saimurugan M. currently serves as Associate Professor at Department of Mechanical Engineering, School of Engineering. His areas of research include Vibration Analysis, Machine Learning and Machine Condition Monitoring.

Qualification: BE, M.E, Ph.D
m_saimurugan@cb.amrita.edu
Research Interest: Machine Condition Monitoring, Machine Condition Monitoring and Data Analytics, Machine Learning, Product Design and Development, Surface Roughness Prediction and Tool Wear Monitoring, Vibration Analysis

Bio

Dr. Saimurugan M. currently serves as Associate Professor at Department of Mechanical Engineering, School of Engineering, Coimbatore Campus. His areas of research include Vibration Analysis, Machine Learning and Machine Condition Monitoring.

Education

  • Ph.D., Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore, 2013.
  • M. E., Computer Aided Design Government College of Engineering, Periyar University, Salem, May, 2000.
  • B.E., Mechanical Engineering, Kongu Engineering College, Bharathiar University, Coimbatore, May, 1998.

Areas of Research Interest

  • Machine Condition Monitoring and Data Analytics : Automated fault diagnosis of dynamic mechanical systems using vibration, acoustic and sound signals.
  • Surface roughness prediction and Tool wear monitoring.
  • Product Design and Development

Sponsored Projects

Honors & Awards

  1. The paper titled “Locality Constrained Linear Coding for Fault Diagnosis of Rotating Machines using Vibration Analysis” selected as a BEST PAPER in 12th IEEE India International Conference on Electronics, Energy, Environment, Communication, Computer Science, Control (INDICON, 2015), JamiaMilliaIslamia, NewDelhi, 2015.
  2. The paper titled “Tool Wear Monitoring Using The Fusion of Vibration Signals and Digital Image” selected as a BEST PAPER in the International Conference on Soft Computing in Applied Sciences and Engineering, Noorul Islam University, Kanyakumari, India, 2015
  3. Tamilnadu State Council for Science and Technology awarded Rs.10,000/- for final year project under Student Project Scheme in the academic year 2003-2004.

Technical Talk

  1. Delivered a lecture titled “Automated identification of weld defects” in one day workshop on Signature Analysis of Arc Welding, Amrita school of Engineering, Amrita VishwaVidyapeetham,Coimbatore, 6th March 2017
  2. Delivered a lecture titled “Fault diagnosis of gearbox using Machine learning techniques” in KIC-TEQIP Sponsored two days short term course on “ Advanced Gear Engineering” at Indian Institute of Technology, Guwahati during 21st-22nd, November, 2015.
  3. M. Saimurugan, Invited Speaker,   “Machine Learning based Fault diagnosis of Gearbox using Vibration and Acoustic signals” TEQIP short term course on Advanced Gear Engineering, Organised by IIT Guwahati, November, 2015.
  4. Delivered a Lecture on “Biodiesel” in AICTE Sponsored nine days short term training programme on “Sustainable development through green manufacturing”, at Amrita school of Engineering, Coimbatore, February 2005.

Workshops Organized

  1. M. Saimurugan, P. Krishnakumar, A. Sumesh – Organiser, Signature Analysis of Arc Welding, Amrita school of Engineering, Amrita VishwaVidyapeetham,Coimbatore, 6th March 2017
  2. M. Saimurugan, P. Krishnakumar, A. Sumesh – Organiser, Condition Monitoring Applications in Machining and Welding, Amrita school of Engineering, Amrita VishwaVidyapeetham,Coimbatore, February 2015.
  3. M. Saimurugan, P. Krishnakumar, A. Sumesh – Organiser, Recent Trends in Manufacturing, Amrita school of Engineering, Amrita VishwaVidyapeetham,Coimbatore, March 2014.

Doctoral Students

  1. “Fault diagnosis of dynamic mechanical systems (gearbox) based on signal processing using machine learning techniques”, T. Praveenkumar, Department of Mechanical Engineering,Amrita Vishwa Vidyapeetham, Coimbatore, India.(Pursuing)
  2. “Estimation of remaining useful life of a rotating component using deep learning”, Jithin Jose, Department of Mechanical Engineering, Amrita Vishwa Vidyapeetham, Coimbatore, India.(Pursuing)
Publications

Conference Paper

Vibration Based Fault Diagnosis of Automobile Gearbox Using Soft Computing Techniques

Authors : Dr. Saimurugan M., P. T Kumar, Jasti, A., and Dr. K. I. Ramachandran

Publisher : Proceedings of the 2014 International Conference on Interdisciplinary Advances in Applied Computing

Locality constrained linear coding for fault diagnosis of rotating machines using vibration analysis

Authors : Pushparajan M., Dr. Santhosh Kumar C., Dr. K. I. Ramachandran, Dr. Saimurugan M., Sreekumar, K.T.; Gopinath, R.; A.S. Raghunath;

Publisher : 12th IEEE India International Conference on Electronics, Energy, Environment, Communication, Computer Science, Control (INDICON, 2015)

Conference Proceedings

Machine learning based fault diagnosis of gearbox using sound and vibration signal

Authors : Dr. Saimurugan M., A. Jasti, and .T, P.

Publisher : 8th International Conference on Science Engineering and technology(SET),

Tool Wear Monitoring Using The Fusion of Vibration Signals and Digital Image

Authors : Dr. Saimurugan M., Krishna Pradeep G.V., and Ravikumar S.

Publisher : International Conference on Soft Computing in Applied Sciences and Engineering

Locality constrained linear coding for fault diagnosis of rotating machines using vibration analysis

Authors : Pushparajan M., Dr. Santhosh Kumar C., Dr. K. I. Ramachandran, Dr. Saimurugan M., Sreekumar, K.T.; Gopinath, R.; A.S. Raghunath;

Publisher : 12th IEEE India International Conference on Electronics, Energy, Environment, Communication, Computer Science, Control (INDICON, 2015)

Design and development of Tool Wear Measurement System

Authors : Dr. Saimurugan M., G. V. Krishna Pradeep, and Ravikumar, S.

Publisher : International Conference on Advanceds in Design and Manufacturing(ICADM’14)

Experimental Evaluation of Grinding Wheel Wear Using Vibration Based Technique

Authors : Arun A., Dr. Saimurugan M., R and A. Sumesh

Publisher : 2nd International Conference on Intelligent Robotics, Automation and Manufacturing (IRAM 2013)

Signature Analysis of welding defects in STB joints using GMAW process

Authors : Dr. Saimurugan M., S. Quadir Moinuddin, .K, R., Santhakumari, A., and Rajasekaran, N.

Publisher : International symbosium on joining of materials

Machine learning approach to Fault Diagnosis of Rotational Mechanical Systems

Authors : Dr. Saimurugan M., Ramachandran, K. I., and Sugumaran, V

Publisher : International Conference on Operations Research applications in Engineering and Management (ICOREM)

Support Vector Machine based Fault Diagnosis of Rotational Mechanical Systems

Authors : Dr. Saimurugan M., Ramachandran, K. I., and Sugumaran, V.

Publisher : International Conference on Recent Trends in Materials and Mechanical Engineering

Journal Article

Fault Diagnosis of Automobile Gearbox Based on Machine Learning Techniques

Authors : Dr. Saimurugan M., Dr. Krishna Kumar P., T. Praveenkumar, and Dr. K. I. Ramachandran

Publisher : Procedia Engineering

Health Monitoring of a Gear Box Using Vibration Signal Analysis

Authors : Dr. Saimurugan M.

Publisher : Applied Mechanics and Materials

A Study on the Classification Ability of Decision Tree and Support Vector Machine in Gearbox Fault Detection

Authors : Dr. Saimurugan M., Dr. Krishna Kumar P., T. Praveenkumar, and Ramachandran, K. I.

Publisher : Applied Mechanics and Materials

Multicomponent fault diagnosis using statistical features and regularized least squares

Authors : Dr. Saimurugan M., Neethu Mohan, Ambika, P. S., S. Kumar, S., and Soman, K. P.

Publisher : International Journal of Applied Engineering Research

Automobile Gearbox Fault Diagnosis using Naive Bayes and Decision Tree Algorithm.

Authors : Dr. Saimurugan M., P. Sundar, KN, V., M., G. Kumare, P., and Sreenath, P. G.

Publisher : Applied Mechanics Materials

Multi component fault diagnosis of rotational mechanical system based on decision tree and support vector machine

Authors : Dr. Saimurugan M., Dr. Sakthivel N. R., Dr. K. I. Ramachandran, and Sugumaran, V.

Publisher : Expert Systems with Applications

Comparision of Sound, Vibration and motor current signature analysis for detection of gearbox faults

Authors : Dr. Saimurugan M., T. Praveenkumar, and Dr. K. I. Ramachandran

Publisher : International Journal of Prognostics and Health Management

A dual sensor signal fusion approach for detection of faults in rotating machines

Authors : Dr. Saimurugan M., Ramprasad R

Publisher : Journal of Vibration and Control

Intelligent Fault Diagnosis Model for Rotating Machinery Based on Fusion of Sound Signals

Authors : Dr. Saimurugan M., Nithesh, R.

Publisher : International Journal of Prognostics and Health Management

On-Road Testing of a Vehicle for Gearbox Fault Detection using Vibration Signals

Authors : Dr. Saimurugan M., T. Praveenkumar, B Sabhrish, P. Sachin Menon, and S Sanjiv

Publisher : Indian Journal of Science and Technology

Tool Wear Monitoring Using The Fusion of Vibration Signals and Digital Image

Authors : Dr. Saimurugan M., Krishna Pradeep G.V., and Ravikumar S.

Publisher : International Conference on Soft Computing in Applied Sciences and Engineering

Finite element simulation and experimental validation of the effect of tool wear on cutting forces in turning operation

Authors : Dr. Saimurugan M., S. Saivenkatesh, Ramkumar, A., Blalakumhren, A. P., and K. Marimuthu, P.

Publisher : Mechanics and Mechanical Engineering

Design and Fabrication of Foldable Bicycle International

Authors : Dr. Saimurugan M., K. Korambeth Rajat, Rajan, M. T. V. Akhil, and S.M, P

Publisher : International Journal of Applied Engineering Research

A multi-sensor information fusion for fault diagnosis of a gearbox utilizing discrete wavelet features

Authors : Dr. Saimurugan M., P. T. Kumar, Haran, R. B. Hari, Siddharth, S., and Dr. K. I. Ramachandran

Publisher : Measurement Science and Technology

Performance improvement of classifier in fault diagnosis of rotating machines using sensor fusion techniques

Authors : Dr. Saimurugan M., M. Sundaram S

Publisher : International Journal of Engineering and Advanced Technology,

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