Review on Transformer Fault Detection and Diagnosis Algorithms

Authors

  • Mohammed Misbahul Islam
  • Mrs. Madhu Upadhyay

DOI:

https://doi.org/10.24113/ijoscience.v7i12.443

Keywords:

Power Transformer, DGA, Diagnostics Methods, Monitoring And Transformer.

Abstract

The method of fault diagnosis based on dissolved gas analysis (DGA) is of great importance to detect possible failures in the transformer and to improve the safety of the electrical system. The DGA data of the transformer in the smart grid has the characteristics of a large amount, different types and a low density of values. Since the power transformer is an important type of power supply in the electrical network, this document provides a complete overview of the power transformer and describes how to diagnose faults. Furthermore, on-line monitoring, the method of fault diagnosis and condition-based maintenance strategy decision-making method as also have been described. The paper presents detailed literature on the recent advancements and methods being adopted by various authors on fault detection.

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Author Biographies

Mohammed Misbahul Islam

M. Tech Scholar

NRI Institute of Research & Technology

Bhopal, Madhya Pradesh, India

Mrs. Madhu Upadhyay

Head of Department

NRI Institute of Research &Technology

Bhopal, Madhya Pradesh, India

References

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Published

12/11/2021

How to Cite

Islam, M. M., & Upadhyay, M. M. . (2021). Review on Transformer Fault Detection and Diagnosis Algorithms. SMART MOVES JOURNAL IJOSCIENCE, 7(12), 27–33. https://doi.org/10.24113/ijoscience.v7i12.443