| Vibration signal-based diagnosis of wind turbine blade conditions for improving energy extraction using machine learning approach MR Sethi, S Sahoo, JA Dhanraj, V Sugumaran Smart and Sustainable Manufacturing Systems 7 (1), 14-40, 2023 | 9 | 2023 |
| A comparative study on diagnosing wind turbine blade fault conditions using rule classifier MR Sethi, S Sahoo, S Kanoongo, B Hemasudheer 2022 2nd International Conference on Emerging Frontiers in Electrical and …, 2022 | 5 | 2022 |
| A Comparative Study on Diagnosing Wind Turbine Blade Fault Conditions using Vibration Data through META Classifiers MR Sethi, B Hemasudheer, S Sahoo, S Kanoongo 2022 4th International Conference on Energy, Power and Environment (ICEPE), 1-5, 2022 | 4 | 2022 |
| Fault diagnosis of wind turbine blades with continuous wavelet transform based deep learning model using vibration signal MR Sethi, AB Subba, M Faisal, S Sahoo, DK Raju Engineering Applications of Artificial Intelligence 138, 109372, 2024 | 2 | 2024 |
| A Comparative Study between Supervised and Unsupervised Techniques for Two Class Emotion Recognition using EEG P Kar, J Hazarika, MR Sethi 2023 IEEE 8th International Conference for Convergence in Technology (I2CT), 1-6, 2023 | 2 | 2023 |
| Fault Diagnosis in Wind Turbine Blades Using Machine Learning Techniques HS Banala, S Sahoo, MR Sethi, AK Sharma Machine Learning, Image Processing, Network Security and Data Sciences …, 2023 | 2 | 2023 |
| Fault Detection in Wind Turbine using Soft Sensing Approach SR Mohapatro, M Mulchandani, N Mohanty, MR Sethi, S Sahoo 2024 3rd International Conference for Advancement in Technology (ICONAT), 1-6, 2024 | | 2024 |
| Fault Diagnosis of Wind Turbine Blades Through Vibration Signal Using Filtered Cultivation Data: A Comparative Study MR Sethi, SS Parhi, S Sahoo, JA Dhanraj, V Sugumaran, SR Mohanty 2023 IEEE Region 10 Symposium (TENSYMP), 1-7, 2023 | | 2023 |
Dr. Sudarsan SahooAssistant Professor of Electronics & Instrumentation Engineering, NIT SilcharBestätigte E-Mail-Adresse bei ei.nits.ac.in