🎓 Researcher specializing in condition monitoring, wavelet-based crack detection, and structural health monitoring with impactful publications in Q1 journals.
PhD at Indian Institute of Technology (Indian School of Mines), Dhanbad
In the area of Condition Monitoring of Machinery
Dr. Ramnivas Kumar is an accomplished Assistant Professor of Mechanical Engineering at Government Engineering College Jamui with expertise in vibration analysis, structural health monitoring, and wavelet-based crack detection. With a strong academic foundation from IIT (ISM) Dhanbad and more than 7 years of research experience.
He has contributed impactful studies in condition monitoring and advanced diagnostic techniques. His work, featured in leading international journals, reflects a commitment to solving real-world engineering challenges while mentoring the next generation of mechanical engineers.
IIT (ISM) Dhanbad, 2024
IIT (ISM) Dhanbad, 2018
Vidya Vihar Institute of Technology, Purnea, 2015
Monitoring systems for reliability.
Analyzing signals with wavelets
Studying vibrations in machines
Monitoring structures for safety
Journal of Vibration Engineering & Technologies • Vol. 13, Issue 6 • 2025
This study aims to develop a noise-robust crack detection algorithm based on finite element modelling for a single cracked cantilever beam. The objective is to accurately identify the crack location from beam deflection data, even in the presence of measurement noise.
Recent Advancements in Computational Intelligence and Design Engineering • pp. 391-394 • 2024
In the outburst of global warming and climate change, renewable energy sources appear as a beacon of hope. Renewable energy holds immense promise in addressing urbanization, rapid industrialization, and growing energy demand in developing nations like India.
Journal of Mines Metals and Fuels • Vol. 71, Issue 12A • 2024
The structures under fatigue loading are fault prone. The damage reduces the local stiffness. This local stiffness leads to a slope discontinuity in the structure elastic line. Localizing the local discontinuity reveals the location of the damage. Wavelet transform is a powerful tool to localize a local slope discontinuity in a signal.
Undergraduate course on mechanisms, kinematics of machines, and dynamics of mechanical systems.
Undergraduate course on stress, strain, and deformation analysis in structural and machine components.
Undergraduate course on vibration theory, system dynamics, and applications in mechanical engineering.
Undergraduate course on numerical techniques for analyzing and solving engineering problems using FEM.