Surya Kandukuri is a Senior Researcher at NORCE (DARWIN research group) specialising in condition monitoring, and health assessment of machinery and structures. His current work spans industrial knowledge graphs, cloud-based digital twins, and AI-driven maintenance solutions, FMI-based co-simulation, ISO 81346 reference designation systems, and LLM-based and agentic architectures for intelligent maintenance assistants, with applications in hydropower, rail infrastructure and wind energy. He brings over 15 years of industry experience from GE Global Research, Airbus Defense and Space, Machine Prognostics AS, and Cognite AS, where he developed remote monitoring and diagnostics solutions for gas turbines, heat exchangers, gasification systems, aircraft electrical systems, and marine propulsion systems. He holds a PhD in condition monitoring from the University of Agder (2018) and an MSc in control engineering from TU Delft (2006).
Surya Teja Kandukuri
Senior Researcher
suka@norceresearch.no
+47 486 44 655
Tullins gate 2, 0166 Oslo, Norway
Division
Energy & Technology
Research Groups
More information about Surya
Projects
Publications
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Academic review articleA comprehensive review of novel technologies for hydropower and strategic opportunities for Europe– Energy Reports 2026
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Academic articleFully 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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Academic articleData 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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Conference lectureAn investigation into the use of RDS-PS (ISO81346-10) for hydropower condition monitoring and performance analytics– Hydro 2024 2024
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Academic articleFault Diagnostics for Electrically Operated Pitch Systems in Offshore Wind Turbines– Journal of Physics: Conference Series (JPCS) 2016
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Academic articleSensitivity 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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Academic chapterA two-stage fault detection and classification for electric pitch drives in offshore wind farms using support vector machine– 2017
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Academic chapterToward farm-level health management of wind turbine systems: status and scope for improvements– 2018
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Academic articleData 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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Academic articleRapid 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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Academic articleFault diagnostics of wind turbine electric pitch systems using sensor fusion approach– Journal of Physics: Conference Series (JPCS) 2018
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Academic chapterDiagnostics of stator winding failures in wind turbine pitch motors using Vold-Kalman filter– 2019
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Academic articleAssessment of synthetic winds through spectral modeling and validation using FAST– Journal of Physics: Conference Series (JPCS) 2016
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Academic chapterSensorless control of induction motors using an extended Kalman filter and linear quadratic tracking– 2017
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Academic articleA 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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Academic articleA Systems Perspective on the Public Perception of Wind Power in Norway– INCOSE International Symposium 2024
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Academic chapterMulti-Component Fault Detection in Wind Turbine Pitch Systems Using Extended Park's Vector and Deep Autoencoder Feature Learning– 2018
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Academic review articleA 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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Academic articleSensitivity 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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Academic chapterFault diagnostics for electrically operated pitch systems in offshore wind turbines– 2018
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Academic chapterEarly detection and classification of bearing faults using support vector machine algorithm– 2017
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Academic articleEstimation 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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Academic articleSoft 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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Academic chapterParameter Identification of a Winding Function Based Model for Fault Detection of Induction Machines– 2018
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Academic chapterEKF-based estimation and control of electric drivetrain in offshore pipe racking machine– 2016
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Academic articleCurrent 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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Academic articleTransnational 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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Academic articlePredictive maintenance of critical components in hydroelectric turbines: A review– IEEE Sensors Journal 2025
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Academic articleA 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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Academic articleAutomated 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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Academic articleTowards farm-level health management of offshore wind farms for maintenance improvements– The International Journal of Advanced Manufacturing Technology 2015
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Academic chapterDiagnosis of inverter-fed induction motors in short time windows using physics-assisted deep learning framework– 2019
