ProfessorsProfessors of Birla Institute of Technology and ScienceHemanth Mithun Praveen

Hemanth Mithun Praveen

Birla Institute of Technology and Science

H-index: 6

Asia-India

About Hemanth Mithun Praveen

Hemanth Mithun Praveen, With an exceptional h-index of 6 and a recent h-index of 6 (since 2020), a distinguished researcher at Birla Institute of Technology and Science, specializes in the field of Machine learning, Fault diagnosis, Condition Monitoring, Automation.

His recent articles reflect a diverse array of research interests and contributions to the field:

Component level signal segmentation method for multi-component fault detection in a wind turbine gearbox

Optimal sensor placement for identifying multi-component failures in a wind turbine gearbox using integrated condition monitoring scheme

Multi Component Fault Classification and Remaining Useful Life Estimation of Critical Components in a Wind Turbine Gearbox using Machine Learning Approaches

Wavelet based real-time planetary gearbox health monitoring under non-stationary operation

Damage monitoring of pultruded GFRP composites using wavelet transform of vibration signals

Fingerprinting based data abstraction technique for remaining useful life estimation in a multi-stage gearbox

A Study on Multicomponent Failure Interactions Within a Planetary Gearbox of a Wind Turbine

Hemanth Mithun Praveen Information

University	Birla Institute of Technology and Science
Position	PhD scholar, BITS Pilani hyderabad campus
Citations(all)	81
Citations(since 2020)	75
Cited By	9
hIndex(all)	6
hIndex(since 2020)	6
i10Index(all)	4
i10Index(since 2020)	3
Email	Access Email
University Profile Page	Birla Institute of Technology and Science
Google Scholar	View Google Scholar Profile

Hemanth Mithun Praveen Skills & Research Interests

Machine learning

Fault diagnosis

Condition Monitoring

Automation

Top articles of Hemanth Mithun Praveen

Title	Journal	Author(s)	Publication Date
Component level signal segmentation method for multi-component fault detection in a wind turbine gearbox	Measurement	Hemanth Mithun Praveen GR Sabareesh Vamsi Inturi Akshay Jaikanth	2022/5/31
Optimal sensor placement for identifying multi-component failures in a wind turbine gearbox using integrated condition monitoring scheme	Applied Acoustics	SVVS Narayana Pichika Ruchir Yadav Sabareesh Geetha Rajasekharan Hemanth Mithun Praveen Vamsi Inturi	2022/2/1
Multi Component Fault Classification and Remaining Useful Life Estimation of Critical Components in a Wind Turbine Gearbox using Machine Learning Approaches		Hemanth Mithun Praveen	2022
Wavelet based real-time planetary gearbox health monitoring under non-stationary operation	Experimental Techniques	HM Praveen GR Sabareesh	2022/10
Damage monitoring of pultruded GFRP composites using wavelet transform of vibration signals	Measurement	Inturi Vamsi MP Hemanth Pavan Kumar Penumakala GR Sabareesh	2022/5/31
Fingerprinting based data abstraction technique for remaining useful life estimation in a multi-stage gearbox	Measurement	Hemanth Mithun Praveen Akshay Jaikanth Vamsi Inturi GR Sabareesh	2021/4/1
A Study on Multicomponent Failure Interactions Within a Planetary Gearbox of a Wind Turbine		Hemanth Mithun Praveen GR Sabareesh Onkar Phatak	2020