Nonperiodic cycle detection and application in gas liquid two-phase flow

Yuncheng Du, Huaxiang Wang, Dongping Du

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

Abstract

Nonperiodic cycle detection methods for gas/liquid two phase flow system were discussed. Cycle detection methods, such as Hurst analysis, the V statistic and the P statistic were briefly reviewed; in addition, a modified P statistic method was introduced. Two types of time series, i.e. mathematically sine wave time series and experimental electrical capacitance tomography time series of plug flow and slug flow under different flow conditions were investigated to verify the effectiveness of different cycle detection methods. The sine wave time series and sine wave time series under gauss noise were used to validate different cycle detection methods. For the electrical capacitance tomography time series of different flow regime, discrete wavelet transform (DWT) was adopted to decompose the original signal into approximate signal and detail signals, and then different cycle detection methods were mainly applied to realize cyclic characterization analysis of detail signals for plug flow and slug flow. The results show that the nonperiodic cycle characteristic analysis can reflect the property of different flow regimes.

Original languageEnglish
Title of host publication2010 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2010 - Proceedings
Pages255-258
Number of pages4
DOIs
StatePublished - 2010
Event2010 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2010 - Austin, TX, United States
Duration: May 3 2010May 6 2010

Publication series

Name2010 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2010 - Proceedings

Conference

Conference2010 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2010
Country/TerritoryUnited States
CityAustin, TX
Period05/3/1005/6/10

Keywords

  • Cycle detection
  • Electrical capacitance tomography
  • Hurst exponent
  • Modified P statistic
  • Wavelet

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