Meghashyam Panyam

Meghashyam Panyam

Clemson University

H-index: 8

North America-United States

About Meghashyam Panyam

Meghashyam Panyam, With an exceptional h-index of 8 and a recent h-index of 8 (since 2020), a distinguished researcher at Clemson University, specializes in the field of Nonlinear dynamics, Energy Harvesting, Multi-body Dynamic Modeling, Wind Turbine Testing and Validation.

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

A Bayesian deep learning framework for reliable fault diagnosis in wind turbine gearboxes under various operating conditions

Wind turbine gearbox fault diagnosis using cyclostationary analysis and interpretable CNN

Vibration based fault diagnostics in a wind turbine planetary gearbox using machine learning

An Uncertainty-Aware Health Monitoring Model for Wind Turbine Drivetrains Based On Bayesian Neural Network

Zero-Speed Start-Up of a 3 MW DFIG Wind Turbine Model: Mechanical and Electrical Hardware-In-the-Loop Co-Simulation

Evaluation of dynamic testing of full-scale wind turbine drivetrains with hardware-in-the-loop

Vibration-based condition monitoring in wind turbine gearbox using convolutional neural network

Condition Monitoring in a Wind Turbine Planetary Gearbox Using Sensor Fusion and Convolutional Neural Network

Meghashyam Panyam Information

University

Position

___

Citations(all)

493

Citations(since 2020)

401

Cited By

288

hIndex(all)

8

hIndex(since 2020)

8

i10Index(all)

7

i10Index(since 2020)

7

Email

University Profile Page

Clemson University

Google Scholar

View Google Scholar Profile

Meghashyam Panyam Skills & Research Interests

Nonlinear dynamics

Energy Harvesting

Multi-body Dynamic Modeling

Wind Turbine Testing and Validation

Top articles of Meghashyam Panyam

Title

Journal

Author(s)

Publication Date

A Bayesian deep learning framework for reliable fault diagnosis in wind turbine gearboxes under various operating conditions

Wind Engineering

Abdelrahman Amin

Amin Bibo

Meghashyam Panyam

Phanindra Tallapragada

2024/4

Wind turbine gearbox fault diagnosis using cyclostationary analysis and interpretable CNN

Journal of Vibration Engineering & Technologies

Abdelrahman Amin

Amin Bibo

Meghashyam Panyam

Phanindra Tallapragada

2023/3/27

Vibration based fault diagnostics in a wind turbine planetary gearbox using machine learning

Wind Engineering

Abdelrahman Amin

Amin Bibo

Meghashyam Panyam

Phanindra Tallapragada

2023/2

An Uncertainty-Aware Health Monitoring Model for Wind Turbine Drivetrains Based On Bayesian Neural Network

IFAC-PapersOnLine

Abdelrahman Amin

Amin Bibo

Meghashyam Panyam

Phanindra Tallapragada

2023/1/1

Zero-Speed Start-Up of a 3 MW DFIG Wind Turbine Model: Mechanical and Electrical Hardware-In-the-Loop Co-Simulation

Sahand Liasi

Ramtin Hadidi

Amin Bibo

Meghashyam Panyam

Narges Ghiasi

2023/10/16

Evaluation of dynamic testing of full-scale wind turbine drivetrains with hardware-in-the-loop

Wind Engineering

Amin Bibo

Meghashyam Panyam

2022/10

Vibration-based condition monitoring in wind turbine gearbox using convolutional neural network

Abdelrahman Amin

Amin Bibo

Meghashyam Panyam

Phanindra Tallapragada

2022/6/8

Condition Monitoring in a Wind Turbine Planetary Gearbox Using Sensor Fusion and Convolutional Neural Network

IFAC-PapersOnLine

Abdelrahman Amin

Amin Bibo

Meghashyam Panyam

Phanindra Tallapragada

2022/1/1

Überlegungen zum Testen von Windkraftanlagengondeln in Originalgröße mit Hardware-in-the-Loop

Forschung im Ingenieurwesen

Kirk Heinold

Meghashyam Panyam

Amin Bibo

2021/6

Considerations for testing full-scale wind turbine nacelles with hardware-in-the-loop

Kirk C Heinold

2021

Modeling considerations for testing full-scale offshore wind turbine nacelles with hardware-in-the-loop

Kirk Heinold

Meghashyam Panyam

Amin Bibo

2020/8/17

See List of Professors in Meghashyam Panyam University(Clemson University)