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S T Kandukuri
S T Kandukuri
Smart Instrumentation and Industrial Testing, NORCE Norwegian Research Centre
Verified email at norceresearch.no
Title
Cited by
Cited by
Year
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
2062016
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
672017
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
402019
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
212016
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
152016
Estimation of wind turbine performance degradation with deep neural networks
MS Mathew, ST Kandukuri, CWP Omlin
The Prognostics and Health Management Society, 2022
122022
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
122017
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
112017
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
82013
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
72018
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
62018
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
52016
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
32023
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
32021
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
12022
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
12020
Rapid Diagnosis of Induction Motor Electrical Faults using Convolutional Autoencoder Feature Extraction
AB Husebų, ST Kandukuri, A Klausen, K Huynh, KG Robbersmyr
Prognostics and Health Management Society, 2020
12020
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
12019
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
12018
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
12018
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