High Voltage Equipment PD Pattern Recognition Based on BP Classifier

Lu Li; Guo Qing Jiang; Tian Ye Niu; Yi Wang; Yong Lu; Qi Lan; Li Chang; Ya Lin Liu; Chao Chen

doi:10.4028/www.scientific.net/AMM.734.99

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 734High Voltage Equipment PD Pattern Recognition...

High Voltage Equipment PD Pattern Recognition Based on BP Classifier

Abstract:

The corresponding discharge waveforms were detected by ultrasonic sensor. The dimension of feature vectors extracted from discharge waveforms were reduced by local linear embedding algorithm. The processed vectors were used as input to train and test BP_Adaboost classifier. Recognition results show that, high voltage reactor insulating defects recognition with this method can reduce the calculation and maintain a high recognition rate at the same time. This shows its effectiveness in the application of partial discharge pattern recognition.

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Periodical:

Applied Mechanics and Materials (Volume 734)

Pages:

99-103

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.734.99

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Cite this paper

Online since:

February 2015

Authors:

Lu Li, Guo Qing Jiang, Tian Ye Niu*, Yi Wang, Yong Lu, Qi Lan, Li Chang, Ya Lin Liu, Chao Chen

Keywords:

BP Classifier, High Voltage Reactor, Recognition of Discharge Type

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* - Corresponding Author

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