An Integrated Neural Fuzzy Approach for Fault Diagnosis of Transformers

  title={An Integrated Neural Fuzzy Approach for Fault Diagnosis of Transformers},
  author={R. Naresh and Veena Sharma and Manisha Vashisth},
  journal={IEEE Transactions on Power Delivery},
This paper presents a new and efficient integrated neural fuzzy approach for transformer fault diagnosis using dissolved gas analysis. The proposed approach formulates the modeling problem of higher dimensions into lower dimensions by using the input feature selection based on competitive learning and neural fuzzy model. Then, the fuzzy rule base for the identification of fault is designed by applying the subtractive clustering method which is very good at handling the noisy input data… CONTINUE READING
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Publications referenced by this paper.
Showing 1-10 of 23 references

Interpretation of gas-in-oil analysis using new IEC publication 60599 and IEC TC 10 databases,

  • M. Duval
  • IEEE Elect. Insul. Mag., vol. 17,
  • 2001
Highly Influential
3 Excerpts

Bezedek, Pattern Recognition With Fuzzy Objective Function Algorithms

  • J C.
  • New York: Plenum,
  • 1981
Highly Influential
6 Excerpts

Dissolved gas analysis: A powerful maintenance tool for transformers,

  • M. Duval
  • 2004
2 Excerpts

Comprehensive diagnostic and aging assessment method of solid insulation in transformer,

  • M. Dong, Z. Yan, G. J. Zhang
  • in Proc. Conf. Electrical Insulation Dielectric…
  • 2003
1 Excerpt

Evolving neural nets for fault diagnosis of power transformers,

  • Y.-C. Huang
  • IEEE Trans. Power Del.,
  • 2003
1 Excerpt

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