Arun Kumar Jalan

Associate Professor, Department of Mechanical Engineering,
BITS Pilani, Pilani Campus

Vibration, Acoustics, Tribology, Machine Learning and Deep Learning, fault diagnosis, Fault prognosis
Room No.-1215-N,
Department of Mechanical Engineering,
Birla Institute of Technology & Science, Pilani- 333031, Rajasthan. India.

On going PhD Students

Name: Mr. Vikas Grover

Current Organization: KHD Humboldt Wedag, New Delhi,

PhD Thesis Title: “Behavioural Analysis of Cement Plant Rotary Kiln Using Modelling & Simulation Techniques” 

Name: Mr. Abhishek Singh Bhadouria

Current Position: Institute Research Scholar, BITS Pilani, Pilani Campus

PhD Thesis Title: “Asset Management of locomotive railway Wheelsets”

Name: Mr. Saurabh Kumar

Current Organization: Schaeffler India Limited, Vadodara

PhD Thesis Title: Fault diagnosis and prognosis of cylindrical roller bearing system using vibration and acoustic measurement.

Name: Ms. Pratibha Sinha

Current Position: Institute Research Scholar, BITS Pilani, Pilani Campus

PhD Thesis Title: Design and development of an intelligent fault diagnosis and prognosis scheme for journal bearing

Name: Mr. Anish Kumar

Current Position: Institute Research Scholar, BITS Pilani, Pilani Campus

PhD Thesis Title: “Design and development of an intelligent wireless sensor network for fault diagnosis of rotor bearing system”. 

PhD Thesis Completed

Name: Dr. Shital Patil, Prime Minister Fellow (2019-23)

Current Designation: AI Specialist, Bosch.

PhD Thesis Title: “Condition Monitoring of Misaligned Rotor System and Remaining Useful Life Prediction of Rolling Element Bearing”. (2023)
Research Highlights: - Fault diagnosis and prognosis, Signal Processing, Machine Learning, Deep Learning

Name: Dr. Rohit Gunerkar

Current Designation: CMS Tech Lead, Vestas Technology R&D

PhD Thesis Title: “Fault diagnosis of rolling element bearing with multiple localized defect using mathematical modeling and experimental analysis”. (2019)
Research Highlights: - Fault diagnosis, Signal Processing, Condition Monitoring, Machine Learning, Vibration Analysis

M.E Dissertations
Fault diagnosis of rotor bearing system using Response surface methodology and 3 level Full factorial Design Hara Prakash Mishra
Vibration Based Analysis of Rotating Shaft with Transverse Crack Parmar ved Hitendra
Fault diagnosis for rotor misalignment Devanshu Rana
Fault diagnosis of a loosened rotor system Behera Santosh Sagar
Study and implementation of active vibration control in cantilever beam using smart material Rajkumar Shufen
Finite element  analysis of sandwich plates Aditya Deshpande
Study of water absorption and tensile properties of silk/glass fiber hybrid composites S Nunna
Study of mechanical and water  absorption characteristics of glass/jute/silk fabric reinforced epoxy hybrid composites P Ravichandra
BE Thesis Supervised (Partial List)
Rotor-Rub Systems: Mathematical modelling  M M Kalyan Krishna
Modelling and simulation of a Rail Vehicle Roshan Pradhan
Numerical analysis of ball bearing Sourav Diwedi
Numerical analysis of defective ball bearing Chandra Bhan singh Chouhan
Model Predictive Control of Horizontal Axis Wind Turbines in Power Production Operation for Fatigue Load Reduction Varun Tripathi
Modeling and fault detection in 4DOF rotor system Anantim Raj
Development of kinematic Multi-segment foot for GAIT analysis Sahil Punchhi
Finite element analysis of underground composite pipeleines Sagnik Singha
Machine fault diagnosis of CNC machines Vidushi garg