SYMBOL STATISTICS: A NEW TOOL FOR UNDERSTANDING MULTIPHASE FLOW PHENOMENA

C. S. Daw, C. E.A. Finney, K. Nguyen, J. S. Halow

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

10 Scopus citations

Abstract

We discuss data symbolization as a tool for identifying temporal patterns in complex measurement signals. We describe the basic concepts involved and illustrate their application for the analysis of gas-bubble injection data. Specific issues addressed include selection of symbolization parameters, construction of symbol-sequence histograms, and statistical characterization and comparison of these histograms. We demonstrate that symbolsequence statistics can reveal unique information about deterministic patterns. Such information may be useful for developing flow diagnostics and comparing computational models with experiments.

Original languageEnglish
Title of host publicationHeat Transfer
Subtitle of host publicationVolume 5 � Numerical and Experimental Methods in Heat Transfer
PublisherAmerican Society of Mechanical Engineers (ASME)
Pages221-229
Number of pages9
ISBN (Electronic)9780791826744
DOIs
StatePublished - 1998
Externally publishedYes
EventASME 1998 International Mechanical Engineering Congress and Exposition, IMECE 1998 - Anaheim, United States
Duration: Nov 15 1998Nov 20 1998

Publication series

NameASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE)
Volume1998-Q

Conference

ConferenceASME 1998 International Mechanical Engineering Congress and Exposition, IMECE 1998
Country/TerritoryUnited States
CityAnaheim
Period11/15/9811/20/98

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