P.K. Kankar

About

Dr. Pavan Kumar Kankar is a Professor in the Department of Mechanical Engineering, Indian Institute of Technology Indore. He has over 20 years of teaching and research experience. He obtained his PhD from Indian Institute of Technology Roorkee, India. His research interests include vibration, design, condition monitoring of mechanical components, nonlinear dynamics, soft computing, etc. He has published more than 150 papers in refereed journals and conferences. His work has been cited more than 4000 times. He also served as a guest editor of special issues of various journals of national and international repute. He is a member of professional bodies like American Society of Mechanical Engineers, Society for Reliability and Safety (SRESA), Tribology Society of India and International Institute of Acoustics & Vibration (IIAV).

Employment

• Indian Institute of Technology Indore Professor
  2023 - Present
• Indian Institute of Technology Indore Associate Professor
  2018 - 2023

Education

• Indian Institute of Technology Roorkee Ph.D.
  2009 - 2011
• Malviya Regional Engineering College Jaipur M.E.
  1998 - 2000
• Engineering College Kota B.E.
  1994 - 1998

Projects & Funding

Projects & funding information is unavailable.

Publications (44)

• A comparison of feature ranking techniques for fault diagnosis of ball bearing
  Soft Computing 2016 DOI: 10.1007/s00500-015-1608-6
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• A comparative study of feature ranking techniques for epileptic seizure detection using wavelet transform
  Computers & Electrical Engineering 2016 DOI: 10.1016/j.compeleceng.2016.05.016
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• Bearing fault component identification using information gain and machine learning algorithms
  Structural Health Monitoring and Inspection of Advanced Materials, Aerospace, and Civil Infrastructure 2015 2015 DOI: 10.1117/12.2180511
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• A multiscale permutation entropy based approach to select wavelet for fault diagnosis of ball bearings
  JVC/Journal of Vibration and Control 2015 DOI: 10.1177/1077546314520830
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• Bearing fault diagnosis based on multi-scale permutation entropy and adaptive neuro fuzzy classifier
  JVC/Journal of Vibration and Control 2015 DOI: 10.1177/1077546313490778
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• Channel optimization and nonlinear feature extraction for Electroencephalogram signals classification
  Computers and Electrical Engineering 2015 DOI: 10.1016/j.compeleceng.2015.03.015
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• Effect of unbalanced rotor on the dynamics of cylindrical roller bearings
  Mechanisms and Machine Science 2015 DOI: 10.1007/978-3-319-06590-8_136
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• Nonlinear dynamic analysis of ball bearings due to varying number of balls and centrifugal force
  Mechanisms and Machine Science 2015 DOI: 10.1007/978-3-319-06590-8_151
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• Variable width based stepped MEMS cantilevers for micro or pico level biosensing and effective switching
  Journal of Mechanical Science and Technology 2015 DOI: 10.1007/s12206-015-1029-6
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• Alcoholism diagnosis from EEG signals using continuous wavelet transform
  2014 Annual IEEE India Conference (INDICON) 2014 DOI: 10.1109/indicon.2014.7030476
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