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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; 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; 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. 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. 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. 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