Specialization

Mechanical Vibrations, Machinery Condition Monitoring, Bearing Diagnostics, Signal Processing, AI

Email

vivek.parmar@thapar.edu

Contact No.

+91-7452088533

Biography

Dr. Vivek Parmar has earned his Ph.D. in December 2021 from the Mechanical & Industrial Engineering Department of IIT Roorkee focusing on diagnostics of rolling element bearings using modelling and experimentations. In 2014, he completed his Master of Engineering from Thapar Institute of Engineering and Technology, India, specializing in CAD/CAM and Robotics. Dr. Parmar has published several articles in reputed journals and conferences. His research interests include mechanical vibrations, machinery condition monitoring, signal processing & AI. Dr. Parmar has also got 6 odd years of academic experience in Mechanical Engineering and Industrial Automation.

Academic Profile

• Ph.D. in Machinery Condition Monitoring, IIT Roorkee, India
  • 2017 - 2021
• M.E. in CAD/CAM Engineering, Thapar Institute of Engineering and Technology, India
  • 2012 - 2014
• B.Tech. PunjabTechnical University, India
  • 2007 – 2011

Teaching and Work Experience

• Assistant Professor, Thapar Institute of Engineering & Technology, Patiala, India
  • October 2024 – Contd.
• Skill Assistant Professor, Bajaj Engineering Skills Training (BEST) Cntre, Banasthali Vidyapith, Rajasthan
  • June 2023 – September 2024
• Assistant Professor, DIT University, Dehradun, UK
  • July 2021 – June 2023
• Assistant Professor, LPU, Phagwara, Punjab
  • July 2014 – June 2017

Research Interests

• Mechanical Vibrations
• Machinery Condition Monitoring
• Rotating Machinery Diagnostics
• Signal Processing
• AI
• Digital Twin

Publications in Peer Reviewed International Journals ()

SCI

• V. Parmar, V.H. Saran, S.P. Harsha, European Journal of Mechanics / A Solids Effect of an unbalanced rotor on dynamic characteristics of double-row self-aligning ball bearing, Eur. J. Mech. / A Solids. 82 (2020) 104006. Impact Factor-4.2)
• V. Parmar, Nonlinear vibration response analysis of a double-row self-aligning ball bearing due to surface imperfections, Journal of Multibody Dynamics – Part K,10.1177/146441932092491A8, Impact Factor-1.7)
• V. Parmar, V.H. Saran, S.P. Harsha, Dynamic analysis of defective DR-SABB under misaligned conditions, Mechanism and machine theory, 10.1016/j.mechmachtheory.2021.104366, Impact Factor-4.8
• Effect of welding current on the microstructural and corrosion behavior of GTA welded austenitic stainless steel joints. https://doi.org/10.1016/j.matpr.2023.09.147, ISSN 2214-7853, (https://www.sciencedirect.com/science/article/pii/S2214785323048204)
• Developing an autonomous method for diagnosing raceway defects and misalignment in a DR-SABB. (Journal of Multibody Dynamics – Part K).
• Fault severity estimation in a self-aligning bearing using Parameter-Optimized Variational Mode Decomposition and Deep-Learning. (Under Review – Journal of Vibration Engineering & Technology)

Conference Papers

• Fault Severity Estimation in a Self-Aligning Bearing Using a Hybrid Transfer-Learning model and CWT. (Presented in VETOMAC 2023)
• Presented a paper titled ‘Quasi periodic and chaotic analysis of double-row self-aligning ball bearing due to unbalance load and localized defects’ in National Systems Conference (NSC-2019) held at IIT Roorkee.
• V. Parmar, R. Rejinmon, R. Roy, V. Sharma, An approachto design and develop an eco-friendly bamboo bicycle, Int. J. Mech. Eng. Technol. 8 (2017) 1763–1774.

Publication of Book Chapters

• Effect of dynamic misalignment on the stiffness characteristics of a double-row self-aligning rolling-element bearing ( Lecture Notes in Mechanical Engineering (LNME)  

Courses of Interest

• Applied Machine Learning
• Introduction to MATLAB Programming
• Industrial Automation
• Machinery Condition Monitoring
• Mechanical Vibrations
• CAD/CREO
• Hydraulics & Pneumatics