Dr. Varaha Satya Bharath Kurukuru

Search results

• Chapter

  Data-Driven Model for State of Health Estimation of Lithium-Ion Battery

  Singh, R., Kurukuru, V. S. B. & Khan, M. A., 2021, Computational Methods and Data Engineering. p. 279-293

  Research output: Conference proceeding/Chapter in Book/Report/ › Chapter › peer-review

  • Lithium-ion batteries 100%
  • Battery electric vehicles 78%
  • Aging of materials 74%
  • Health 68%
  • Degradation 64%

• Failure Mode Effect Analysis of Power Semiconductors in a Grid‐Connected Converter

  Kurukuru, V. S. B. & Khan, I., Nov 2022, Fault Analysis and its Impact on Grid-connected Photovoltaic Systems Performance. 1 ed. Vol. 1. p. 149-184

  Research output: Conference proceeding/Chapter in Book/Report/ › Chapter › peer-review

  • Semiconductor materials 100%
  • Failure modes 99%
  • Power electronics 31%
  • Power semiconductor devices 22%
  • Distributed power generation 16%

• Fault Classification Approach for Grid‐Tied Photovoltaic Plant

  Kurukuru, V. S. B. & Haque, A., Nov 2022, Fault Analysis and its Impact on Grid-connected Photovoltaic Systems Performance . 1 ed. Vol. 1. p. 185 - 214

  Research output: Conference proceeding/Chapter in Book/Report/ › Chapter › peer-review

  • power plant 100%
  • solar power 84%
  • topology 33%
  • thermal power plant 20%
  • alarm 17%

• IoT‐Based Monitoring and Management for Photovoltaic System

  Malik, A., Haque, A. & Kurukuru, V. S. B., Nov 2022, Fault Analysis and its Impact on Grid-connected Photovoltaic Systems Performance . 1 ed. Vol. 1. p. 291-318

  Research output: Conference proceeding/Chapter in Book/Report/ › Chapter › peer-review

  • Internet of things 100%
  • Monitoring 67%
  • Automation 36%
  • Data Analytics 26%
  • Remote sensing 24%

• Islanding classification and low-voltage ride through for grid connected transformerless inverter

  Khan, M. A., Kurukuru, VS. B. & Haque, A., 2021, Intelligent Circuits and Systems. 1st ed. (Intelligent Circuits and Systems).

  Research output: Conference proceeding/Chapter in Book/Report/ › Chapter › peer-review

  • Reactive power 100%
  • Control systems 65%
  • Electric potential 55%
  • Fault detection 49%
  • Neural networks 32%

• Machine learning classifier for fault classification in photovoltaic system

  Kurukuru, VS. B., Khan, M. A., Haque, A. & Tripathi, A. K., 2021, Intelligent Circuits and Systems. 1st ed. p. 34 1 p. (Intelligent Circuits and Systems).

  Research output: Conference proceeding/Chapter in Book/Report/ › Chapter › peer-review

  • Machine learning 100%
  • Classifiers 96%
  • Supervised learning 36%
  • Wavelet transforms 31%
  • Learning algorithms 28%

• Photovoltaic Module Fault. Part 1: Detection with Image Processing Approaches

  Kurukuru, V. S. B. & Haque, A., Nov 2022, Fault Analysis and its Impact on Grid-connected Photovoltaic Systems Performance. Haque, A. & Mekhilef, S. (eds.). 1 ed. Vol. 1. p. 77-110

  Research output: Conference proceeding/Chapter in Book/Report/ › Chapter › peer-review

  • Image processing 100%
  • Degradation 89%
  • Hough transforms 75%
  • Monitoring 71%
  • Edge detection 67%

• Photovoltaic Module Fault. Part 2: Detection with Quantitative‐Model Approach

  Kurukuru, V. S. B. & Haque, A., Nov 2022, Fault Analysis and its Impact on Grid-connected Photovoltaic Systems Performance . Haque, A. & Mekhilef, S. (eds.). 1 ed. Vol. 1. p. 111-148

  Research output: Conference proceeding/Chapter in Book/Report/ › Chapter › peer-review

  • Voltage measurement 100%
  • Photovoltaic cells 97%
  • Electric current measurement 94%
  • Electric potential 82%
  • Incident solar radiation 50%