Data analysis using Hilbert-Huang Transform for partial discharge in low voltage motors

Ya Wen Tang, Cheng Chi Tai, Ching Chau Su

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Over the course of the past 20 years, the number of signal processing methods used to analyze the partial discharge (PD) of electrical equipments has greatly increased. In this paper, we analyze and compare the PD signals from acoustic emission (AE) and high-frequency current transformer (HFCT) measurements with Hilbert-Huang Transforms (HHT). The HHT demonstrates several excellent advantages in the PD signal analysis application.

Original languageEnglish
Title of host publication2007 International Conference on Intelligent Systems Applications to Power Systems, ISAP
DOIs
Publication statusPublished - 2007 Dec 1

Publication series

Name2007 International Conference on Intelligent Systems Applications to Power Systems, ISAP

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Energy Engineering and Power Technology
  • Control and Systems Engineering

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