Prof. Prabhakar Sathujoda
Bennett University
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Academic Career Length
26Years (2001-Present)
(Calculated once Scilit publication data is synced: current year − year of first publication + 1)
Representative Publications
View All Publications1 December 2002 in Tribology International
Journal Article
21 January 2005 in Journal of Sound and Vibration
Journal Article
26 September 2002 in Journal of Sound and Vibration
Journal Article
1 December 2001 in Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science
Journal Article
The transient response of a misaligned rotor—coupling—bearing system passing through the critical speed has been analysed by using the finite element method (FEM) for flexural vibrations. The coupling has been modelled in two ways: a frictionless joint and a joint with stiffness and damping. From the vibration analysis, the subcritical speeds at one-half, one-third and one-fourth the critical speed have been found when the misaligned rotor—coupling—bearing system passes through its critical speed. The continuous wavelet transform (CWT) has been used as a tool to extract the silent features from the time response of the rotor system. A parametric study has been carried out to investigate the transient response of this rotor system for different angular accelerations in different types of misalignment.
14 May 2002 in Mechanism and Machine Theory
Journal Article
8 December 2021 in Smart Materials and Structures
Journal Article
TBTushar Bansal
Tushar BansalVTVisalakshi Talakokula
Visalakshi TalakokulaPrabhakar SathujodaThe application of the electro-mechanical impedance (EMI) technique using piezo sensors for structural health monitoring (SHM) is based on baseline/healthy signature data, which poses serious limitations when it needs to be applied to existing structures. Therefore, the present research utilizes autoregressive integrated moving average (ARIMA), an effective time series forecasting machine learning algorithm to predict the baseline/healthy EMI data and futuristic data of reinforced concrete corroded specimens. The EMI data from the ARIMA model is validated with the experimental data, and the results obtained prove that the model could be utilized to predict the baseline and forecast the EMI corrosion data effectively. These results will aid the researchers to predict the baseline data for the existing structures and utilize the EMI technique for SHM purposes.
About Me
Earned Ph.D. in Mechanical Engineering in 2002 from Indian Institute of Technology, Kharagpur. Received Master of Technology in Maintenance Engineering from University of Mysore, India in 1995. After working in various industries such as Rolls Royce (UK), GE (India), ALSTOM (UK), ITP (UK), P&G (UK) for about 15 years, he moved to academics and is currently working as a Professor at Bennett University, India. He collaborates with researchers at the University of Derby, UK and the University of Salerno, Italy. He is a Fellow and Chartered Engineer of the Institution of Engineers (India) and a Fellow of the International Society for Condition Monitoring (UK). His research interests are Rotordynamics, Vibration Analysis, Condition Monitoring, Fracture Mechanics, and Thermo-mechanical Fatigue. He has published over 40 papers on international peer-reviewed journals and conferences and has filed and published two patents.