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The State of the Art in transformer fault diagnosis with artificial intelligence and Dissolved Gas Analysis: A Review of the Literature

arXiv 2304.11880 ↗First posted 24 Apr 2023eess.SY cs.LG cs.SYcited by 0

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Abstract (arXiv)

Transformer fault diagnosis (TFD) is a critical aspect of power system maintenance and management. This review paper provides a comprehensive overview of the current state of the art in TFD using artificial intelligence (AI) and dissolved gas analysis (DGA). The paper presents an analysis of recent advancements in this field, including the use of deep learning algorithms and advanced data analytics techniques, and their potential impact on TFD and the power industry as a whole. The review also highlights the benefits and limitations of different approaches to transformer fault diagnosis, including rule-based systems, expert systems, neural networks, and machine learning algorithms. Overall, this review aims to provide valuable insights into the importance of TFD and the role of AI in ensuring the reliable operation of power systems.

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References · 28

  1. 2022Detection of False Data Injection Attacks in Smart Grid: A Secure Federated Deep Learning Approachcited by 27
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  3. 2020Deep Feature Mining via Attention-based BiLSTM-GCN for Human Motor Imagery Recognitioncited by 4
  4. 2021Bitcoin Transaction Strategy Construction Based on Deep Reinforcement Learningcited by 4
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  6. 2022Probabilistic Charging Power Forecast of EVCS: Reinforcement Learning Assisted Deep Learning Approachcited by 4
  7. 2022Optimal scheduling of island integrated energy systems considering multi-uncertainties and hydrothermal simultaneous transmission: A deep reinforcement learning approachcited by 4
  8. 2020Method for Extracting Patterns of Coordinated Network Attacks on Electric Power CPS based on Temporal-Topological Correlationcited by 3
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  11. 2018Optimized Extreme Learning Machine for Power System Transient Stability Prediction Using Synchrophasorscited by 2
  12. 2019Dynamic State Estimation of Generators Under Cyber Attackscited by 2
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  14. 2018Rule extraction based on extreme learning machine and an improved ant-miner algorithm for transient stability assessmentcited by 1
  15. 2021Robust Kalman filter-based dynamic state estimation of natural gas pipeline networkscited by 1
  16. 2022Resilience assessment and improvement for electric power transmission systems against typhoon disasters: A data-model hybrid driven approachcited by 1

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