| A review of diagnostics and prognostics of low-speed machinery towards wind turbine farm-level health management ST Kandukuri, A Klausen, HR Karimi, KG Robbersmyr Renewable and Sustainable Energy Reviews 53, 697-708, 2016 | 215 | 2016 |
| Early detection and classification of bearing faults using support vector machine algorithm JSL Senanayaka, ST Kandukuri, H Van Khang, KG Robbersmyr 2017 IEEE workshop on electrical machines design, control and diagnosis …, 2017 | 70 | 2017 |
| A two-stage fault detection and classification scheme for electrical pitch drives in offshore wind farms using support vector machine ST Kandukuri, JSL Senanyaka, KG Robbersmyr IEEE Transactions on Industry Applications 55 (5), 5109-5118, 2019 | 45 | 2019 |
| Towards farm-level health management of offshore wind farms for maintenance improvements ST Kandukuri, KG Robbersmyr, HR Karimi The International Journal of Advanced Manufacturing Technology 83, 1557-1567, 2016 | 21 | 2016 |
| Estimation of wind turbine performance degradation with deep neural networks MS Mathew, ST Kandukuri, CWP Omlin The Prognostics and Health Management Society, 2022 | 17 | 2022 |
| Fault diagnostics for electrically operated pitch systems in offshore wind turbines ST Kandukuri, HR Karimi, KG Robbersmyr Journal of Physics: Conference Series 753 (5), 052005, 2016 | 15 | 2016 |
| A two-stage fault detection and classification for electric pitch drives in offshore wind farms using support vector machine ST Kandukuri, JSL Senanayaka, KG Robbersmyr 2017 20th International Conference on Electrical Machines and Systems (ICEMS …, 2017 | 12 | 2017 |
| Current signature based fault diagnosis of field-oriented and direct torque–controlled induction motor drives ST Kandukuri, JSL Senanayaka, VK Huynh, HR Karimi, KG Robbersmyr Proceedings of the Institution of Mechanical Engineers, Part I: Journal of …, 2017 | 11 | 2017 |
| Fault Detection based on MCSA for a 400Hz Asynchronous Motor for Airborne Applications S Haus, H Mikat, M Nowara, ST Kandukuri, U Klingauf, M Buderath International Journal of Prognostics and Health Management 4 (2), 2013 | 8 | 2013 |
| Data driven approach for the management of wind and solar energy integrated electrical distribution network with high penetration of electric vehicles MS Mathew, ML Kolhe, ST Kandukuri, CW Omlin Journal of Cleaner Production 421, 138467, 2023 | 7 | 2023 |
| Fault diagnostics of wind turbine electric pitch systems using sensor fusion approach ST Kandukuri, A Klausen, KG Robbersmyr Journal of Physics: Conference Series 1037 (3), 032036, 2018 | 7 | 2018 |
| Multi-component fault detection in wind turbine pitch systems using extended park's vector and deep autoencoder feature learning ST Kandukuri, H Van Khang, KG Robbsersmyr 2018 21st International Conference on Electrical Machines and Systems (ICEMS …, 2018 | 6 | 2018 |
| Ekf-based estimation and control of electric drivetrain in offshore pipe racking machine W Pawlus, ST Kandukuri, G Hovland, M Choux, MR Hansen 2016 IEEE International Conference on Industrial Technology (ICIT), 153-158, 2016 | 5 | 2016 |
| Automated and rapid seal wear classification based on acoustic emission and support vector machine ST Kandukuri, VV Shanbhag, TJJ Meyer, LW Caspers, NS Noori, ... PHM Society European Conference 6 (1), 8-8, 2021 | 4 | 2021 |
| Data driven seal wear classifications using acoustic emissions and Artificial Neural Networks N Noori, VV Shanbhag, ST Kandukuri, R Schlanbusch The Prognostics and Health Management Society (PHM Society), 2022 | 3 | 2022 |
| A Novel Fault Indicator for Local Demagnetization in Fractional-Slot Permanent Magnet Synchronous Motor using Winding Function Theory M Golzar, ST Kandukuri, K Huynh, MMH Choux, AM Versland Prognostics and Health Management Society, 2020 | 1 | 2020 |
| Rapid Diagnosis of Induction Motor Electrical Faults using Convolutional Autoencoder Feature Extraction AB Husebø, ST Kandukuri, A Klausen, K Huynh, KG Robbersmyr Prognostics and Health Management Society, 2020 | 1 | 2020 |
| Diagnostics of stator winding failures in wind turbine pitch motors using Vold-Kalman filter ST Kandukuri, KG Robbersmyr IECON 2019-45th Annual Conference of the IEEE Industrial Electronics Society …, 2019 | 1 | 2019 |
| Parameter Identification of a Winding Function Based Model for Fault Detection of Induction Machines HV Khang, S Kandukuri, W Pawlus, KG Robbersmyr 2018 Eighth International Conference on Information Science and Technology …, 2018 | 1 | 2018 |
| Toward farm-level health management of wind turbine systems: status and scope for improvements ST Kandukuri, KG Robbersmyr, HR Karimi Structural Control and Fault Detection of Wind Turbine Systems, 149-167, 2018 | 1 | 2018 |
Kjell G. RobbersmyrUniversity of Agder在 uia.no 的电子邮件经过验证
