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Trends in Applied Sciences Research
  Year: 2012 | Volume: 7 | Issue: 10 | Page No.: 813-828
DOI: 10.3923/tasr.2012.813.828
 
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De-noising of Online PD Signals in Power Transformers Using the Bhattacharyya Distance

Alireza Alesaadi, Amir Ghaedi, Aboozar Ghaffari and Vahid Parvin

Abstract:
Unexpected failures can be prevented in the power system using online condition monitoring of the related apparatus. In high voltage equipments, such as cross linked poly ethylene (XLPE) cables, power transformers, medium voltage switchgears and rotating machines, many of the reported outages arise from insulation failures and deteriorations. Thus, online monitoring of quantities that originate from insulation failures are useful for on time fault recognition and preventive operation performance. When the strength of insulations is decreased, the Partial Discharge (PD) signals occur in primary stages. The extension of such PDs can result an insulation breakdown. As a result, PD signals detection can be used for insulation monitoring of power system equipments. Online PD detection of the power system apparatus is disturbed by the environmental noises which are difficult to be removed from the PD signals. In this study, a new method based on the Bhattacharyya distance, is introduced and used for de-noising of PD signals in power transformers online condition monitoring.
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How to cite this article:

Alireza Alesaadi, Amir Ghaedi, Aboozar Ghaffari and Vahid Parvin, 2012. De-noising of Online PD Signals in Power Transformers Using the Bhattacharyya Distance. Trends in Applied Sciences Research, 7: 813-828.

DOI: 10.3923/tasr.2012.813.828

URL: https://scialert.net/abstract/?doi=tasr.2012.813.828

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