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An integrated data compression scheme using process monitoring and lifting wavelet transform

  • Rui Zhou*
  • , Wen Bao
  • *Corresponding author for this work

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

Abstract

Based on the analysis of real-time data function of power plant and some current data compression methods, an integrated data compression scheme using process monitoring and lifting wavelet transform is proposed. In this method, the signal is first examined in order to find out the samples from abnormal states via process monitoring method. Then, the lifting wavelet transform is performed. As to signal with samples from abnormal states, approximate coefficients and detail coefficients that correspond to the abnormal data are reserved. Otherwise, only approximate coefficients are retained. As a consequence, the cost related with data storage and transmission is reduced. Meanwhile the samples from abnormal states that contain abundant fault information are preserved perfectly. The integrated scheme has been tested on real life signal and simulation results indicate that this method is valid and has a wide potential in application.

Original languageEnglish
Title of host publicationProceedings of the 7th World Congress on Intelligent Control and Automation, WCICA'08
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages5138-5142
Number of pages5
ISBN (Print)9781424421145
DOIs
StatePublished - 2008
Event7th World Congress on Intelligent Control and Automation, WCICA'08 - Chongqing, China
Duration: 25 Jun 200827 Jun 2008

Publication series

NameProceedings of the World Congress on Intelligent Control and Automation (WCICA)

Conference

Conference7th World Congress on Intelligent Control and Automation, WCICA'08
Country/TerritoryChina
CityChongqing
Period25/06/0827/06/08

Keywords

  • Compression
  • Lifting scheme
  • Power plant
  • Process monitoring
  • Wavelet transform

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