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Prof. Ramchandra Ganpati Desavale
Prof. Ramchandra Ganpati Desavale
Professor in Mechatronics Engineering, Rajarambapu Institute of Technology
Verified email at ritindia.edu - Homepage
Title
Cited by
Cited by
Year
Experimental-based fault diagnosis of rolling bearings using artificial neural network
RA Kanai, RG Desavale, SP Chavan
Journal of Tribology 138 (3), 031103, 2016
532016
Antifriction bearings damage analysis using experimental data based models
RG Desavale, R Venkatachalam, SP Chavan
Journal of Tribology 135 (4), 041105, 2013
422013
Effect of vehicle vibration on human body—RIT experience
US Katu, RG Desavale, RA Kanai
Proceedings of the 11th National Conference on Machines and Mechanisms, 1-9, 2003
402003
An intelligent prediction for detecting bearing vibration characteristics using a machine learning model
VG Salunkhe, RG Desavale
Journal of Nondestructive Evaluation, Diagnostics and Prognostics of …, 2021
372021
Experimental and numerical studies on spherical roller bearings using multivariable regression analysis
RG Desavale, R Venkatachalam, SP Chavan
Journal of Vibration and Acoustics 136 (2), 021022, 2014
332014
Distributed fault diagnosis of rotor-bearing system using dimensional analysis and experimental methods
PM Jadhav, SG Kumbhar, RG Desavale, SB Patil
Measurement 166, 108239, 2020
322020
Theoretical and experimental studies to predict vibration responses of defects in spherical roller bearings using dimension theory
SG Kumbhar, RG Desavale
Measurement 161, 107846, 2020
312020
Fault size diagnosis of rolling element bearing using artificial neural network and dimension theory
SG Kumbhar, RG Desavale, NV Dharwadkar
Neural Computing and Applications 33 (23), 16079-16093, 2021
302021
Dynamics characteristics and diagnosis of a rotor-bearing's system through a dimensional analysis approach: an experimental study
RG Desavale
Journal of Computational and Nonlinear Dynamics 14 (1), 014501, 2019
302019
Experimental frequency-domain vibration based fault diagnosis of roller element bearings using support vector machine
VG Salunkhe, RG Desavale, T Jagadeesha
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B …, 2021
262021
Dynamic model to predict vibration characteristics of rolling element bearings with inclined surface fault
GL Suryawanshi, SK Patil, RG Desavale
Measurement 184, 109879, 2021
252021
Vibration characteristics diagnosis of roller bearing using the new empirical model
RG Desavale, RA Kanai, SP Chavan, R Venkatachalam, PM Jadhav
Journal of Tribology 138 (1), 011103, 2016
252016
An overview of dynamic modeling of rolling-element bearings
SG Kumbhar, E Sudhagar P, RG Desavale
Noise & Vibration Worldwide 52 (1-2), 3-18, 2021
232021
Application of dimension analysis and soft competitive tool to predict compound faults present in rotor-bearing systems
PV Shinde, RG Desavale
Measurement 193, 110984, 2022
202022
Roller element bearing fault size estimation using adaptive neurofuzzy inference system
SM Patil, RG Desavale, SG Kumbhar
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B …, 2021
162021
A Novel Method to Classify Rolling Element Bearing Faults Using K-Nearest Neighbor Machine Learning Algorithm
MA Vishwendra, PS Salunkhe, SV Patil, SA Shinde, PV Shinde, ...
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B …, 2022
142022
Vibration analysis of deep groove ball bearing using finite element analysis and dimension analysis
VG Salunkhe, RG Desavale, SG Kumbhar
Journal of Tribology 144 (8), 081202, 2022
132022
Theoretical and experimental analysis of torsional and bending effect on four cylinders engine crankshafts by Using Finite Element Approach
RG Desavale, AM Patil
International Journal of Engineering Research 2 (6), 379-385, 2013
132013
Comparative study of response of vibrations for circular and square defects on components of cylindrical roller bearing under different conditions
SM Patil, RG Desavale, PV Shinde, VR Patil
Innovative Design, Analysis and Development Practices in Aerospace and …, 2021
122021
Unbalance Bearing Fault Identification Using Highly Accurate Hilbert-Huang Transform Approach
VG Salunkhe, SM Khot, R Desavale, N Yelve
Journal of Nondestructive Evaluation, Diagnostics and Prognostics of …, 2023
112023
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