Dr V. Sugumaran
VIT University
H-index: 36
Asia-India
Top articles of Dr V. Sugumaran
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Detection of visual faults in photovoltaic modules using a stacking ensemble approach | Heliyon | Divya Sripada V Sugumaran Mohammadreza Aghaei | 2024/3/30 |
Autonomous Intelligent Monitoring of Photovoltaic Systems: An In-depth Multidisciplinary Review | Mohammadreza Aghaei M Kolahi Amir Nedaei NS Venkatesh Sayyed Majid Esmailifar | 2024/3/24 | |
Application of feature fusion strategy for monitoring the condition of nitrogen filled tires using tree family of classifiers | Physica Scripta | Hrithik Parihar S Naveen Venkatesh PS Anoop V Sugumaran | 2024/2/6 |
Monitoring the condition of nitrogen-filled tires using weightless neural networks | Automatika | Avantika Rattan Naveen Venkatesh S V Sugumaran PS Anoop | 2024/4/2 |
Fault Diagnosis of Suspension System Based on Spectrogram Image and Vision Transformer | Eksploatacja i Niezawodność | Balaji Arun Naveen S Venkatesh V Sugumaran | 2024 |
Enhancing photovoltaic module fault diagnosis: Leveraging unmanned aerial vehicles and autoencoders in machine learning | Sustainable Energy Technologies and Assessments | CV Prasshanth S Naveen Venkatesh V Sugumaran Mohammadreza Aghaei | 2024/4/1 |
Weightless neural network-based fault diagnosis in suspension system | FME Transactions | Ronit Shah Naveen S Venkatesh Arun P Balaji V Sugumaran | 2024 |
Reducing cost with MEMS sensor and improving performance of classifier using probabilistic voting method | Measurement Science and Technology | P Arun Balaji V Sugumaran | 2023/10/27 |
Transfer learning based fault diagnosis of automobile dry clutch system | Engineering Applications of Artificial Intelligence | G Chakrapani V Sugumaran | 2023/1/1 |
Health Monitoring of Dry Clutch System Using Deep Learning Approach. | Intelligent Automation & Soft Computing | Ganjikunta Chakrapani V Sugumaran | 2023/8/1 |
Vibration signal-based diagnosis of wind turbine blade conditions for improving energy extraction using machine learning approach | Smart and Sustainable Manufacturing Systems | Manas Ranjan Sethi Sudarsan Sahoo Joshuva Arockia Dhanraj V Sugumaran | 2023/5/3 |
Transfer learning-based fault detection in wind turbine blades using radar plots and deep learning models | Energy Sources, Part A: Recovery, Utilization, and Environmental Effects | Arjun Jaikrishna M Sugumaran V Joshuva Arockia Dhanraj Karthikeyan Velmurugan Chatchai Sirisamphanwong | 2023/10/2 |
Enhancing photovoltaic module fault diagnosis with unmanned aerial vehicles and deep learning-based image analysis | International Journal of Photoenergy | J Jerome Vasanth S Naveen Venkatesh V Sugumaran Vetri Selvi Mahamuni | 2023/7/29 |
Comparative study of machine learning and deep learning techniques for fault diagnosis in suspension system | Journal of the Brazilian Society of Mechanical Sciences and Engineering | P Arun Balaji V Sugumaran | 2023/4 |
Transfer Learning-Based Fault Diagnosis of Single-Stage Single-Acting Air Compressor | Journal of Vibration Engineering & Technologies | G Chakrapani S Naveen Venkatesh S Aravinth V Sugumaran | 2023/9/7 |
Prediction of air compressor condition using vibration signals and machine learning algorithms | JOURNAL OF VIBRATION AND CONTROL | S Aravinth V Sugumaran | 2023/3/1 |
Transfer Learning Based Fault Detection for Suspension System Using Vibrational Analysis and Radar Plots | Machines | Samavedam Aditya Sai Sridharan Naveen Venkatesh Seshathiri Dhanasekaran Parameshwaran Arun Balaji Vaithiyanathan Sugumaran | 2023/7/26 |
Robust algorithm to learn rules for classification: A fault diagnosis case study | FME Transactions | Arun P Balaji V Sugumaran | 2023 |
Fault Diagnosis of Wind Turbine Blades Through Vibration Signal Using Filtered Cultivation Data: A Comparative Study | Manas Ranjan Sethi Subhransu Sekhar Parhi Sudarsan Sahoo Joshuva Arockia Dhanraj V Sugumaran | 2023/9/6 | |
A Holistic Study on Failures and Diagnosis Techniques in Photovoltaic Modules, Components and Systems | Mohammadreza Aghaei Mohammad Kolahi Amir Nedaei Naveen Venkatesh Sridharan Aref Eskandari | 2023/6/12 |
Co-Authors
