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Feature extraction based on EMD for Insulated Gate Bipolar Transistor

  • Beihang University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper, empirical mode decomposition (EMD) is used in feature extraction on Insulated Gate Bipolar Transistor (IGBT). Dynamic changes of the degradation parameters such as collector-emitter voltage (VCE) and collector-emitter current (ICE) were got by temperature cycling test. Having conducted data compression and preliminary processing, we proceed the decomposition by using the EMD method. Then IGBT degradation trends can be found through the curve after treatment and the degenerate point can be found through energy analysis. The results show that EMD method can be well suited for feature extraction of IGBT data, and lay a foundation for further study of the data.

Original languageEnglish
Title of host publication4th Annual IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems, IEEE-CYBER 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages619-622
Number of pages4
ISBN (Electronic)9781479936687
DOIs
StatePublished - 7 Oct 2014
Event4th Annual IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems, IEEE-CYBER 2014 - Hong Kong, China
Duration: 4 Jun 20147 Jun 2014

Publication series

Name4th Annual IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems, IEEE-CYBER 2014

Conference

Conference4th Annual IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems, IEEE-CYBER 2014
Country/TerritoryChina
CityHong Kong
Period4/06/147/06/14

Keywords

  • IGBT
  • empirical mode decomposition
  • feature extraction

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