Multi-Level Fault Diagnosis of Power Transformer Based on Fusion Technology

Zhi Bin Li; Qi Ben Li

doi:10.4028/www.scientific.net/AMR.860-863.1925

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 860-863Multi-Level Fault Diagnosis of Power Transformer...

Multi-Level Fault Diagnosis of Power Transformer Based on Fusion Technology

Abstract:

Traditional transformer fault diagnosis based on single source of information has significant limitation in identification of transformer fault type because of power transformers complex structure and changeable operating environment. So fusion technology is introduced into the fault diagnosis of power transformer. This method divides the progress of transformer fault diagnosis into two fusion levels. The first level is to ascertain whether it is overheated or discharged by content of gases dissolved in transformer oil. The second level is to ascertain the location or cause of the fault by electric data. The intelligence algorithms which are used in these two levels are both the improved BP neural network algorithm. Finally, the effectiveness is validated by the result of practical fault diagnosis examples.

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Periodical:

Advanced Materials Research (Volumes 860-863)

Pages:

1925-1928

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.860-863.1925

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Online since:

December 2013

Authors:

Zhi Bin Li, Qi Ben Li*

Keywords:

BP Network, DGA, Fault Diagnosis, Fusion Technique, Power Transformer

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* - Corresponding Author

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