Title :
Transformer Partial Discharge Online Monitoring Based on the Hibert Huang Transform
Author :
Ye, Zheng ; Zhou, Lixing
Author_Institution :
ChangSha Univ. of Sci. & Technol., Changsha, China
Abstract :
Online monitoring of power transformer partial discharge is the guarantee of reliability of power supply, which is the advanced project of on-line monitoring and diagnostics for high voltage and insulation. In this paper it is applied the method of HHT for signal processing and analysis. The method not only controls the random noise by the greatest extent, but also that retains partial discharge waveform. The HHT is the most effective method which extract the feature of transformer partial discharge.
Keywords :
Hilbert transforms; condition monitoring; feature extraction; partial discharges; power transformer insulation; random noise; HHT method; Hibert Huang transform; feature extraction; high voltage on-line monitoring; insulation diagnostics; partial discharge waveform; power supply reliability; power transformer partial discharge online monitoring; random noise; signal processing; Discharges; Monitoring; Noise; Partial discharges; Power transformer insulation; Transforms; EMD; Hibert Huang Transform; Online Monitoring; PD;
Conference_Titel :
Computer Distributed Control and Intelligent Environmental Monitoring (CDCIEM), 2012 International Conference on
Conference_Location :
Hunan
Print_ISBN :
978-1-4673-0458-0
DOI :
10.1109/CDCIEM.2012.199
