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 symbol-sequence statistics can reveal unique information about deterministic patterns. Such information may be useful for developing flow diagnostics and comparing computational models with experiments.
| Original language | English |
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| Pages (from-to) | 221-229 |
| Number of pages | 9 |
| Journal | American Society of Mechanical Engineers, Heat Transfer Division, (Publication) HTD |
| Volume | 361-5 |
| State | Published - 1998 |
| Event | Proceedings of the 1998 ASME International Mechanical Engineering Congress and Exposition - Anaheim, CA, USA Duration: Nov 15 1998 → Nov 20 1998 |