Dr Amit Bhende
Academic Coordinator
| Department of Mechanical Engineering
St. Vincent Palloti College of Engineering and Technology, Warha Road
Maharashtra
Expertise:
Mechanical Engineering
20
Publications
1
Projects
34
Scopus Citations
30
CrossRef
18 Years 2 Months Total Experience
Scopus
34
Citations
3
h-index
CrossRef
30
Citations
3
h-index
Google Scholar
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Professional Recognition
Best Faculty Award
2023
St Vincent Pallotti College of Engineering and Technology, Nagpur,Nagpur
Best Faculty Award
2021
St Vincent Pallotti College of Engineering and Technology, Nagpur,Nagpur
Best Paper Award in Conference RAMMML
2023
YCCE Nagpur
Best Paper Award in Conference
2022
Tata Steel Conference in Jamshedpur
Community & Membership
Board of Studies in Mechanical Engg TGPCET Nagpur
VC Nominated memberCondition Monitoring Society of India
Life memberPersonal Details
Doctor of Philosophy
2015
N/A
Academic Coordinator
Jul 2011 – Present
St. Vincent Palloti College of Engineering and Technology, Warha Road
| Department of Mechanical Engineering
Lecturer
Jul 2008 – Jul 2011
Rajiv Gandhi College of Engineering and Research, Wanadongri
Engineering and Technology
Scholarly Work
Design of Motorcycle Handlebarfor Reduction of Vibrations Using Tuned Mass Damper
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Patent No. :
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Filed :
18-12-2025
Published :
18-12-2025
Filed
Scholarly Publications
Development of a novel hybrid method to evaluate driving comfort in an all-terrain vehicle using transfer path analysis and transfer function analysis
Machine learning-based feature-driven model generation and evaluation for multi-fault bearing diagnosis using XGBoost and time-domain statistical features of vibration data
Structural Health Monitoring of Staircase Using Vibration Measurements and Analysis
Vibration-based bearing fault classification using classical machine learning models: a comparative study
Hybrid Den Hartog-based design, validation and optimisation of a dynamic vibration absorber for washing machine drums using genetic algorithm
Fault Detection of Industrial Air Blower Using Vibration Signal Analysis
Machine learning-based bearing fault detection using statistical feature engineering and explainable XGBoost classification
Intelligent diagnosis of bearing faults via support vector machine and multinomial logistic regression: performance evaluation and analysis
Showing 1 to 8 of 20 publications