Joint Time-Frequency Analysis for Partial Discharge (PD) Signal Extraction

被引：0
|
作者：
Ma, Hui [1 ]
Seo, Junhyuck [1 ]
Saha, Tapan [1 ]
Chan, Jeffery [1 ]
机构：
[1] Univ Queensland, Sch ITEE, Brisbane, Qld, Australia
来源：
2018 12TH INTERNATIONAL CONFERENCE ON THE PROPERTIES AND APPLICATIONS OF DIELECTRIC MATERIALS (ICPADM 2018) | 2018年
基金：
澳大利亚研究理事会;
关键词：
WAVELET SELECTION; CLASSIFICATION; TRANSFORM; METHODOLOGY;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The joint time-frequency analysis has been recently applied to PD signal extraction. Its advantage is widely considered to be the capability of analyzing signals in time and frequency domains at multiple scales. This paper presents a study on recent advances in the application of joint time frequency analysis techniques to extract PD signal from noise. The theoretical foundation and implementation of two representative joint time-frequency analysis techniques, namely discrete wavelet transform (DWT) and empirical mode decomposition (EMD) are detailed. Case studies using signals taken from PD measurements are presented.
引用
收藏
页码：90 / 93
页数：4
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