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Surya Teja Kandukuri

Surya Teja Kandukuri

Postdoctoral Research Fellow

Department of Engineering Sciences >

 

+47 37 23 33 04

+47 486 44 655

Office:
D3064 ( Jon Lilletuns vei 9, Grimstad )

Education

PhD.Research Fellow in Mechatronics

Department of Engineering Sciences, University of Agder, Grimstad, Norway.

2014 - 2018

MSc.Systems and Control 

Delft Center for Systems & Control, Delft University of Technology, Delft, Netherlands. 

2003 - 2006

B.Tech.- Electrical and Electronics Engineering 

Nagarjuna University, Andhra Pradesh, India 

1999 - 2003

Work Experience

Lead Engineer, Vehicle Health Management 

Airbus Defence and Space, Airbus India Ltd., Bangalore, India 

2011 - 2014

Engineer, Remote Prognostic Laboratory 

Global Research Center, General Electric Company, Bangalore, India

2007 - 2011

Academic interests

  • Model based fault diagnosis
  • Prognostic
  • System Health Management
  • System Identification 
  • Estimation and Control

Scientific publications

  • Kandukuri, Surya Teja; Shanbhag, Vignesh Vishnudas; Meyer, Thomas; Caspers, Leo; Noori, Nadia; Schlanbusch, Rune (2021). Automated 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). ISSN: 2325-016X. 6 (1). s 203 - 210. doi:10.36001/phme.2021.v6i1.2942.
  • Golzar, Milad; Kandukuri, Surya Teja; Huynh, Khang; Choux, Martin Marie Hubert; Versland, Alf Magne (2020). A 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). ISSN: 2325-016X.
  • Husebø, Arild Bergesen; Kandukuri, Surya Teja; Klausen, Andreas; Huynh, Khang; Robbersmyr, Kjell Gunnar (2020). Rapid Diagnosis of Induction Motor Electrical Faults using Convolutional Autoencoder Feature Extraction. Proceedings of the European Conference of the Prognostics and Health Management Society (PHME). ISSN: 2325-016X. 5 (1).
  • Klausen, Andreas; Kalaoja, Johannes; Kandukuri, Surya Teja; Robbersmyr, Kjell Gunnar (2020). Sensitivity 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). ISSN: 2325-016X. 5 (1).
  • Kandukuri, Surya Teja; Senanayaka, Jagath Sri Lal; Huynh, Khang; Robbersmyr, Kjell Gunnar (2019). A Two-Stage Fault Detection and Classification Scheme for Electrical Pitch Drives in Offshore Wind Farms Using Support Vector Machine. IEEE transactions on industry applications. ISSN: 0093-9994. 55 (5). s 5109 - 5118. doi:10.1109/TIA.2019.2924866.
  • Kandukuri, Surya Teja; Huynh, Khang; Robbersmyr, Kjell Gunnar (2019). Diagnosis of inverter-fed induction motors in short time windows using physics-assisted deep learning framework. 2019 IEEE 12th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED). ISBN: 978-1-7281-1832-1. IEEE conference proceedings. chapter. s 264 - 270.
  • Kandukuri, Surya Teja; Huynh, Khang; Robbersmyr, Kjell Gunnar (2019). Diagnostics of stator winding failures in wind turbine pitch motors using Vold-Kalman filter. Proceeding 45th Annual Conference of the IEEE Industrial Electronics Society - IECON 2019. ISBN: 978-1-7281-4878-6. IEEE conference proceedings. Detection and Estimation of Incipient faults. s 5992 - 5997.
  • Kandukuri, Surya Teja; Huynh, Khang; Karimi, Hamid Reza; Robbersmyr, Kjell Gunnar (2018). Fault diagnostics for electrically operated pitch systems in offshore wind turbines. Structural Control and Fault Detection of Wind Turbine Systems. ISBN: 9781785613944. IET Digital Library. chapter 8. s 193 - 211.
  • Kandukuri, Surya Teja; Klausen, Andreas; Huynh, Khang; Robbersmyr, Kjell Gunnar (2018). Fault diagnostics of wind turbine electric pitch systems using sensor fusion approach. Journal of Physics: Conference Series (JPCS). ISSN: 1742-6588. 1037 (3). doi:10.1088/1742-6596/1037/3/032036.
  • Kandukuri, Surya Teja; Huynh, Khang; Robbersmyr, Kjell Gunnar (2018). Multi-Component Fault Detection in Wind Turbine Pitch Systems Using Extended Park's Vector and Deep Autoencoder Feature Learning. 2018 21st International Conference on Electrical Machines and Systems (ICEMS). ISBN: 978-89-86510-20-1. IEEE conference proceedings. Renewable energy. s 1002 - 1007.
  • Huynh, Khang; Kandukuri, Surya Teja; Pawlus, Witold; Robbersmyr, Kjell Gunnar (2018). Parameter Identification of a Winding Function Based Model for Fault Detection of Induction Machines. 2018 Eighth International Conference on Information Science and Technology (ICIST). ISBN: 978-1-5386-3782-1. IEEE conference proceedings. Parameter identification. s 200 - 205.
  • Kandukuri, Surya Teja; Robbersmyr, Kjell Gunnar; Karimi, Hamid Reza (2018). Toward farm-level health management of wind turbine systems: status and scope for improvements. Structural Control and Fault Detection of Wind Turbine Systems. ISBN: 9781785613944. IET Digital Library. Chapter 6. s 149 - 168.
  • Kandukuri, Surya Teja; Senanayaka, Jagath Sri Lal; Huynh, Khang; Robbersmyr, Kjell Gunnar (2017). A two-stage fault detection and classification for electric pitch drives in offshore wind farms using support vector machine. 2017 20th International Conference on Electrical Machines and Systems (ICEMS). ISBN: 978-1-5386-3246-8. IEEE conference proceedings. Fault Detection and Tolerant Operation in Machines.
  • Kandukuri, Surya Teja; Senanayaka, Jagath Sri Lal; Huynh, Khang; Karimi, Hamid Reza; Robbersmyr, Kjell Gunnar (2017). Current 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. ISSN: 0959-6518. 231 (10). s 849 - 866. doi:10.1177/0959651817731259.
  • Senanayaka, Jagath Sri Lal; Kandukuri, Surya Teja; Huynh, Khang; Robbersmyr, Kjell Gunnar (2017). Early detection and classification of bearing faults using support vector machine algorithm. Proceedings- 2017 IEEE Workshop on Electrical Machines Design, Control and Diagnosis (WEMDCD). ISBN: 978-1-5090-5853-2. IEEE conference proceedings. Electrical Machines Diagnosis. s 250 - 255.
  • Håland, David; Kandukuri, Surya Teja; Huynh, Khang (2017). Sensorless control of induction motors using an extended Kalman filter and linear quadratic tracking. 2017 20th International Conference on Electrical Machines and Systems (ICEMS). ISBN: 978-1-5386-3246-8. IEEE conference proceedings. Sensored and Sensorless Control of Electric Machines.
  • Chougule, Abhijit; Kandukuri, Surya Teja; Beyer, Hans-Georg (2016). Assessment of synthetic winds through spectral modeling and validation using FAST. Journal of Physics: Conference Series (JPCS). ISSN: 1742-6588. 753 (4). doi:10.1088/1742-6596/753/4/042011.
  • Pawlus, Witold; Kandukuri, Surya Teja; Hovland, Geir; Choux, Martin Marie Hubert; Hansen, Michael Rygaard (2016). EKF-based estimation and control of electric drivetrain in offshore pipe racking machine. 2016 IEEE International Conference on Industrial Technology (ICIT). ISBN: 978-1-4673-8075-1. IEEE. Article. s 153 - 158.
  • Kandukuri, Surya Teja; Huynh, Khang; Karimi, Hamid Reza; Robbersmyr, Kjell G (2016). Fault Diagnostics for Electrically Operated Pitch Systems in Offshore Wind Turbines. Journal of Physics: Conference Series (JPCS). ISSN: 1742-6588. 753 (5). doi:10.1088/1742-6596/753/5/052005.
  • Kandukuri, Surya Teja; Robbersmyr, Kjell G; Karimi, Hamid Reza (2015). Towards farm-level health management of offshore wind farms for maintenance improvements. The International Journal of Advanced Manufacturing Technology. ISSN: 0268-3768. s 1 - 11. doi:10.1007/s00170-015-7616-y.

Research groups

Last changed: 21.02.2019 12:02