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TRANSFORMER FAULT DIAGNOSIS TECHNIQUES

  • Unique Paper ID: 171195
  • Volume: 11
  • Issue: 7
  • PageNo: 3019-3024
  • Abstract:
  • The efficient transmission and distribution of electricity, as well as the overall operation of the power system, are dependent on the transformer. The study lays out the history of transformer failure detection methods and gives an overview of them. A large number of academics have sought to improve upon these time-honoured techniques by using smart technologies like support vector machines, neural networks, and machine learning. A new approach and technology for the safe and dependable operation and routine maintenance of power systems are provided by combining transformer fault prediction with a machine learning algorithm. This helps maintenance personnel of power systems to accurately predict the running state of power equipment.
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Cite This Article

  • ISSN: 2349-6002
  • Volume: 11
  • Issue: 7
  • PageNo: 3019-3024

TRANSFORMER FAULT DIAGNOSIS TECHNIQUES

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Impact Factor
8.01 (Year 2024)
UGC Approved
Journal no 47859

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