Study on Wavelet Packet Algorithm for Detecting the Partial Discharge in HV Transformer
Xiangfei Li
Abstract
Xiangfei Li
Abstract
All sorts of disturbances and their characters are analysed and three approaches of disturbance to the partial discharge are discussed in order to eliminate all disturbances.The signals for simulating the different partial discharge signals and the disturbed partial discharge signal in HV transformer are designed.In order to extract the partial discharge pulse,a wavelet packet algorithm for decomposition and reconstruction to the partial discharge signal,which has high resolving power to the high frequency signal and low frequency signal,is adopted.Simulation results show that it can eliminate the strong carried disturbances and detect the time position and amplitude of the partial discharge signals.
A significance statement is not available in the OpenAlex record.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
All sorts of disturbances and their characters are analysed and three approaches of disturbance to the partial discharge are discussed in order to eliminate all disturbances.The signals for simulating the different partial discharge signals and the disturbed partial discharge signal in HV transformer are designed.In order to extract the partial discharge pulse,a wavelet packet algorithm for decomposition and reconstruction to the partial discharge signal,which has high resolving power to the high frequency signal and low frequency signal,is adopted.Simulation results show that it can eliminate the strong carried disturbances and detect the time position and amplitude of the partial discharge signals.
Key concepts: Partial discharge, Wavelet, Wavelet packet decomposition, Transformer, Algorithm, SIGNAL (programming language), Computer science, Wavelet transform