Surya Teja Kandukuri
Seniorforsker
suka@norceresearch.no
+47 486 44 655
Sognsveien 72, 0855 Oslo, Norway
Prosjekter
Publikasjoner
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Vitenskapelig kapittelAutomated Knowledge Graph Generation for Hydropower Plants using ISO 81346 and RAG-enhanced Large Language Models– 2024
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Vitenskapelig kapittelSensorless control of induction motors using an extended Kalman filter and linear quadratic tracking– 2017
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Vitenskapelig kapittelA two-stage fault detection and classification for electric pitch drives in offshore wind farms using support vector machine– 2017
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Vitenskapelig kapittelEarly detection and classification of bearing faults using support vector machine algorithm– 2017
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Vitenskapelig artikkelA Novel Fault Indicator for Local Demagnetization in Fractional-Slot Permanent Magnet Synchronous Motor using Winding Function Theory– Proceedings of the European Conference of the Prognostics and Health Management Society (PHME) 2020
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Vitenskapelig artikkelEstimation of Wind Turbine Performance Degradation with Deep Neural Networks– Proceedings of the European Conference of the Prognostics and Health Management Society (PHME) 2022
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Vitenskapelig artikkelA Systems Perspective on the Public Perception of Wind Power in Norway– INCOSE International Symposium 2024
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Vitenskapelig artikkelSoft Ordering 1-D CNN to Estimate the Capacity Factor of Windfarms for Identifying the Age-Related Performance Degradation– Proceedings of the European Conference of the Prognostics and Health Management Society (PHME) 2024
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Vitenskapelig artikkelFully Automated Diagnostics of Induction Motor Drives in Offshore Wind Turbine Pitch Systems Using Extended Park Vector Transform and Convolutional Neural Network– Proceedings of the European Conference of the Prognostics and Health Management Society (PHME) 2024
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Vitenskapelig kapittelToward farm-level health management of wind turbine systems: status and scope for improvements– 2018
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Vitenskapelig kapittelMulti-Component Fault Detection in Wind Turbine Pitch Systems Using Extended Park's Vector and Deep Autoencoder Feature Learning– 2018
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Vitenskapelig kapittelParameter Identification of a Winding Function Based Model for Fault Detection of Induction Machines– 2018
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Vitenskapelig artikkelRapid Diagnosis of Induction Motor Electrical Faults using Convolutional Autoencoder Feature Extraction– Proceedings of the European Conference of the Prognostics and Health Management Society (PHME) 2020
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Vitenskapelig kapittelEKF-based estimation and control of electric drivetrain in offshore pipe racking machine– 2016
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Vitenskapelig artikkelData driven approach for the management of wind and solar energy integrated electrical distribution network with high penetration of electric vehicles– Journal of Cleaner Production 2023
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Vitenskapelig artikkelData Driven Seal Wear Classifications using Acoustic Emissions and Artificial Neural Networks– Proceedings of the European Conference of the Prognostics and Health Management Society (PHME) 2022
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KonferanseforedragAn investigation into the use of RDS-PS (ISO81346-10) for hydropower condition monitoring and performance analytics– Hydro 2024 2024
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Vitenskapelig artikkelCurrent signature based fault diagnosis of field-oriented and direct torque–controlled induction motor drives– Proceedings of the Institution of mechanical engineers. Part I, journal of systems and control engineering 2017
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Vitenskapelig artikkelTransnational experience exchange between countries towards speeding up EU renewable transition: example of Norway-Croatia– Journal of Physics: Conference Series (JPCS) 2024
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Vitenskapelig artikkelFault Diagnostics for Electrically Operated Pitch Systems in Offshore Wind Turbines– Journal of Physics: Conference Series (JPCS) 2016
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Vitenskapelig artikkelSensitivity Analysis Of Online Oil Quality Monitoring For Early Detection Of Water Ingress In Marine Propulsion Systems– Proceedings of the European Conference of the Prognostics and Health Management Society (PHME) 2020
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Vitenskapelig artikkelPredictive maintenance of critical components in hydroelectric turbines: A review– IEEE Sensors Journal 2025
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Vitenskapelig artikkelFault diagnostics of wind turbine electric pitch systems using sensor fusion approach– Journal of Physics: Conference Series (JPCS) 2018
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Vitenskapelig kapittelDiagnostics of stator winding failures in wind turbine pitch motors using Vold-Kalman filter– 2019
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Vitenskapelig artikkelA Two-Stage Fault Detection and Classification Scheme for Electrical Pitch Drives in Offshore Wind Farms Using Support Vector Machine– IEEE transactions on industry applications 2019
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Vitenskapelig artikkelAutomated and Rapid Seal Wear Classification Based on Acoustic Emission and Support Vector Machine– Proceedings of the European Conference of the Prognostics and Health Management Society (PHME) 2021
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Vitenskapelig oversiktsartikkelA review of diagnostics and prognostics of low-speed machinery towards wind turbine farm-level health management– Renewable and Sustainable Energy Reviews 2016
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Vitenskapelig artikkelTowards farm-level health management of offshore wind farms for maintenance improvements– The International Journal of Advanced Manufacturing Technology 2015
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Vitenskapelig artikkelAssessment of synthetic winds through spectral modeling and validation using FAST– Journal of Physics: Conference Series (JPCS) 2016
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Vitenskapelig kapittelDiagnosis of inverter-fed induction motors in short time windows using physics-assisted deep learning framework– 2019
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Vitenskapelig artikkelSensitivity analysis for multi-measurement points based SHM in the mooring lines of floating offshore wind turbines– Journal of Physics: Conference Series (JPCS) 2024
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Vitenskapelig kapittelFault diagnostics for electrically operated pitch systems in offshore wind turbines– 2018
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Vitenskapelig oversiktsartikkelA comprehensive review of novel technologies for hydropower and strategic opportunities for Europe– Energy Reports 2026
