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Dr. Saimurugan M.

Associate Professor, Department of Mechanical Engineering, School of Engineering, Coimbatore

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 Publications
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

Journal Article

Year : 2020

Vibration signals based fault severity estimation of a shaft using machine learning techniques

Cite this Research Publication : E. C. Yuvaraju, Rudresh, L. R., and Dr. Saimurugan M., “Vibration signals based fault severity estimation of a shaft using machine learning techniques”, Materials Today: Proceedings, vol. 24, pp. 241 - 250, 2020.

Publisher : Materials Today: Proceedings

Year : 2020

Seismic analysis based structure integrity assessment of steam generator in fast breeder reactor

Cite this Research Publication : S. Vijayaraghavan and Dr. Saimurugan M., “Seismic analysis based structure integrity assessment of steam generator in fast breeder reactor”, Materials Today: Proceedings, vol. 22, pp. 3152-3161, 2020.

Publisher : Materials Today: Proceedings

Year : 2020

A Data Driven Approach for Prediction of Overloading in Ball Bearing

Cite this Research Publication : A. A. and Dr. Saimurugan M., “A Data Driven Approach for Prediction of Overloading in Ball Bearing”, International Journal of Advanced Science and Technology, vol. 29, no. 3, pp. 11990 - 11998, 2020.

Publisher : International Journal of Advanced Science and Technology

Year : 2019

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

Cite this Research Publication : S. Saivenkatesh, Ramkumar, A., Blalakumhren, A. P., Prakash Marimuthu K., and Dr. Saimurugan M., “Finite element simulation and experimental validation of the effect of tool wear on cutting forces in turning operation”, International Journal of Mechanics and Mechanical Engineering, vol. 23, pp. 297-302, 2019.

Publisher : International Journal of Mechanics and Mechanical Engineering

Year : 2019

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

Cite this Research Publication : P. T. Kumar, Dr. Saimurugan M., Haran, R. B. Hari, Siddharth, S., and Dr. K. I. Ramachandran, “A multi-sensor information fusion for fault diagnosis of a gearbox utilizing discrete wavelet features”, Measurement Science and Technology, vol. 30, no. 8, 2019.

Publisher : Measurement Science and Technology

Year : 2019

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

Cite this Research Publication : M. Sundaram S and Dr. Saimurugan M., “Performance improvement of classifier in fault diagnosis of rotating machines using sensor fusion techniques”, International Journal of Engineering and Advanced Technology, vol. 8, no. 6, pp. 1136-1141, 2019.

Publisher : International Journal of Engineering and Advanced Technology,

Year : 2019

Fault Diagnosis of Gearbox Using Machine Learning and Deep Learning Techniques

Cite this Research Publication : T. Praveenkumar, Dr. Saimurugan M., Krishna Kumar P., and I, R. K., “Fault Diagnosis of Gearbox Using Machine Learning and Deep Learning Techniques”, International Journal of Engineering and Advanced Technology, vol. 9, pp. 3940-3943, 2019.


Publisher : International Journal of Engineering and Advanced Technology

Year : 2018

Pattern recognition based on-line vibration monitoring system for fault diagnosis of automobile gearbox

Cite this Research Publication : T. Praveenkumar, Sabhrish, B., Dr. Saimurugan M., and Dr. K. I. Ramachandran, “Pattern recognition based on-line vibration monitoring system for fault diagnosis of automobile gearbox”, Measurement, vol. 114, pp. 233 - 242, 2018.

Publisher : Measurement

Year : 2017

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

Cite this Research Publication : T. Praveenkumar, Dr. Saimurugan M., and Dr. K. I. Ramachandran, “Comparision of Sound, Vibration and motor current signature analysis for detection of gearbox faults”, International Journal of Prognostics and Health Management, vol. 8, no. 2, pp. 1-10, 2017.

Publisher : International Journal of Prognostics and Health Management

Year : 2017

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

Cite this Research Publication : Dr. Saimurugan M. and Ramprasad R, “A dual sensor signal fusion approach for detection of faults in rotating machines”, Journal of Vibration and Control, vol. 24, pp. 2621–2630, 2017.

Publisher : Journal of Vibration and Control

Year : 2016

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

Cite this Research Publication : Krishna Pradeep G.V., Dr. Saimurugan M., and Ravikumar S., “Tool Wear Monitoring Using the Fusion of Vibration Signals and Digital Image”, Journal of Chemical and Pharmaceutical Sciences , vol. 9, pp. 537-541, 2016.

Publisher : Journal of Chemical and Pharmaceutical Sciences .

Year : 2016

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

Cite this Research Publication : Dr. Saimurugan M. and Nithesh, R., “Intelligent Fault Diagnosis Model for Rotating Machinery Based on Fusion of Sound Signals”, International Journal of Prognostics and Health Management, vol. 7, no. 2, pp. 1-10, 2016.

Publisher : International Journal of Prognostics and Health Management.

Year : 2016

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

Cite this Research Publication : Dr. Saimurugan M., T. Praveenkumar, B Sabhrish, P. Sachin Menon, and S Sanjiv, “On-Road Testing of a Vehicle for Gearbox Fault Detection using Vibration Signals”, Indian Journal of Science and Technology, vol. 9, no. 34, 2016.

Publisher : Indian Journal of Science and Technology.

Year : 2016

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

Cite this Research Publication : Krishna Pradeep G.V., Dr. Saimurugan M., and Ravikumar S., “Tool Wear Monitoring Using the Fusion of Vibration Signals and Digital Image”, Journal of Chemical and Pharmaceutical Sciences , vol. 9, pp. 537-541, 2016.

Publisher : Journal of Chemical and Pharmaceutical Sciences

Year : 2015

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

Cite this Research Publication : Dr. Saimurugan M., T. Praveenkumar, Krishna Kumar P., and Ramachandran, K. I., “A Study on the Classification Ability of Decision Tree and Support Vector Machine in Gearbox Fault Detection”, Applied Mechanics and Materials, vol. 813-814, pp. 1058-1062, 2015.


Publisher : Applied Mechanics and Materials

Year : 2015

Multicomponent Fault Diagnosis using Statistical Features and Regularized Least Squares

Cite this Research Publication : Neethu Mohan, Ambika PS, Sachin Kumar S, M Saimurugan, KP Soman, Multicomponent Fault Diagnosis using Statistical Features and Regularized Least Squares, International Journal of Applied Engineering Research, Vol 10, pp 19074-19080, 2015

Publisher : International Journal of Applied Engineering Research

Year : 2015

Health Monitoring of a Gear Box Using Vibration Signal Analysis

Cite this Research Publication : Dr. Saimurugan M., “Health Monitoring of a Gear Box Using Vibration Signal Analysis”, Applied Mechanics and Materials, vol. 813-814, pp. 1012-1017, 2015.

Publisher : Applied Mechanics and Materials

Year : 2015

Design and Fabrication of Foldable Bicycle International

Publisher : International Journal of Applied Engineering Research

Year : 2015

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

Cite this Research Publication : P. Sundar, KN, V., Dr. Saimurugan M., G. Kumare, P., and Sreenath, P. G., “Automobile Gearbox Fault Diagnosis using Naive Bayes and Decision Tree Algorithm.”, Applied Mechanics & Materials, vol. 813/814, pp. 943-948, 2015.

Publisher : Applied Mechanics Materials

Year : 2014

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

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.


Publisher : International Journal of Data Analysis Techniques and Strategies

Year : 2014

Fault Diagnosis of Automobile Gearbox Based on Machine Learning Techniques

Cite this Research Publication : T. Praveenkumar, Dr. Saimurugan M., Krishna Kumar P., and Dr. K. I. Ramachandran, “Fault Diagnosis of Automobile Gearbox Based on Machine Learning Techniques”, Procedia Engineering, vol. 97, pp. 2092–2098, 2014.

Publisher : Procedia Engineering

Year : 2011

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

Cite this Research Publication : Dr. Saimurugan M., Dr. K. I. Ramachandran, Sugumaran, V., and Dr. Sakthivel N.R., “Multi component fault diagnosis of rotational mechanical system based on decision tree and support vector machine”, Expert Systems with Applications, vol. 38, pp. 3819-3826, 2011.

Publisher : Expert Systems with Applications

Conference Paper

Year : 2014

Vibration Based Fault Diagnosis of Automobile Gearbox Using Soft Computing Techniques

Cite this Research Publication : P. T Kumar, Jasti, A., Dr. Saimurugan M., and Dr. K. I. Ramachandran, “Vibration Based Fault Diagnosis of Automobile Gearbox Using Soft Computing Techniques”, in Proceedings of the 2014 International Conference on Interdisciplinary Advances in Applied Computing, New York, NY, USA, 2014.


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

Conference Proceedings

Year : 2015, 2016

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

Cite this Research Publication : K. T. Sreekumar, Gopinath, R., Pushparajan M., A.S. Raghunath, Dr. Santhosh Kumar C., Dr. K. I. Ramachandran, and Dr. Saimurugan M., “Locality Constrained Linear Coding for Fault Diagnosis of Rotating Machines using Vibration Analysis”, 12th IEEE India International Conference on Electronics, Energy, Environment, Communication, Computer Science, Control (INDICON, 2015). Institute of Electrical and Electronics Engineers Inc., JamiaMilliaIslamia, NewDelhi, pp. 1-6, 2015.

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

Year : 2015, 2016

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

Cite this Research Publication : K. T. Sreekumar, Gopinath, R., Pushparajan M., A.S. Raghunath, Dr. Santhosh Kumar C., Dr. K. I. Ramachandran, and Dr. Saimurugan M., “Locality Constrained Linear Coding for Fault Diagnosis of Rotating Machines using Vibration Analysis”, 12th IEEE India International Conference on Electronics, Energy, Environment, Communication, Computer Science, Control (INDICON, 2015). Institute of Electrical and Electronics Engineers Inc., JamiaMilliaIslamia, NewDelhi, pp. 1-6, 2015.

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

Year : 2014

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

Cite this Research Publication : A. Jasti, .T, P., and Dr. Saimurugan M., “Machine learning based fault diagnosis of gearbox using sound and vibration signal”, 8th International Conference on Science Engineering and technology(SET), . School of Advanced Sciences, VIT University, Vellore, India, 2014.

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

Year : 2014

Design and development of Tool Wear Measurement System

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

Year : 2013

Experimental Evaluation of Grinding Wheel Wear Using Vibration Based Technique

Cite this Research Publication : A. Arun, Kumar, R., Dr. Saimurugan M., and A. Sumesh, “Experimental Evaluation of Grinding Wheel Wear Using Vibration Based Technique”, 2nd International Conference on Intelligent Robotics, Automation and Manufacturing (IRAM 2013). Emerald group, IIT- Indore, p. 364, 2013.



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

Year : 2012

Signature Analysis of welding defects in STB joints using GMAW process

Cite this Research Publication : S. Quadir Moinuddin, .K, R., Dr. Saimurugan M., Santhakumari, A., and Rajasekaran, N., “Signature Analysis of welding defects in STB joints using GMAW process”, International symbosium on joining of materials. WRI, Trichy, 2012.

Publisher : International symbosium on joining of materials

Year : 2009

Machine learning approach to Fault Diagnosis of Rotational Mechanical Systems

Cite this Research Publication : Dr. Saimurugan M., Ramachandran, K. I., and Sugumaran, V., “Machine learning approach to Fault Diagnosis of Rotational Mechanical Systems ”, International Conference on Operations Research applications in Engineering and Management (ICOREM). Anna University, Tiruchirappalli, India, 2009.

Publisher : Anna University, Tiruchirappalli

Year : 2008

Support Vector Machine based Fault Diagnosis of Rotational Mechanical Systems

Cite this Research Publication : Dr. Saimurugan M., Ramachandran, K. I., and Sugumaran, V., “Support Vector Machine based Fault Diagnosis of Rotational Mechanical Systems”, International Conference on Recent Trends in Materials and Mechanical Engineering. Dr.Mahalingam College of Technalogy, pollachi , India, 2008.

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

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