International Journal of Managment, IT and Engineering

  • Year: 2012
  • Volume: 2
  • Issue: 4

A comparative study of different fault diagnostic methods of power transformer using dissoved gas analysis

  • Author:
  • Pallavi Patil, Vikal Ingle
  • Total Page Count: 9
  • DOI:
  • Page Number: 178 to 186

*M tech pursuing, Bapurao Deshmukh College of Engg, Sewagram

**Asst. Professor, Bapurao Deshmukh College of Engg, Sewagram

Abstract

Dissolved Gas Analysis is an important analysis for fault diagnosis and condition monitoring of power transformer. The various technique such as conventional methods, Artificial Intelligence, Artificial Neural network, Fuzzy Expert system, Genetic algorithm etc can be used to increase the efficiency and accuracy of diagnostics system. Failures of power transformer can cause malfunction of system device or damage to apparatus. This paper presents the review of different techniques with their relative advantages and shortcomings. Dissolved Gas Analysis of the oil samples has been widely used fault diagnostic tool.

Keywords

Dissolved Gas Analysis, Power Transformer, Fuzzy Logic, Fuzzy inference system, Artificial Neural Network, Expert System