Detection of hidden parameters the classification of trends in the analysis of multifractal spectra

Andrzej Smolarz, Irene Lurie, Akmaral Tleshova, Assel Mussabekova, Serge Olszewski, Volodymyr I. Lytvynenko

2019

Closed access Metadata (CSL-JSON)
DOI 10.1117/12.2522386
Data confidence 70 medium
How this score is calculated

It is built from checkable properties of the record itself: whether the article has a DOI, how many independent sources confirmed its data, whether the required fields are filled in, and how recent the latest confirmation is. Disagreement between sources and a missing identifier lower it. A value of 80 or above means the record was published without further checking; 60 to 79 means it is published at reduced confidence, with a manual check advisable. A record verified by an editor by hand is never pushed below 90 by a recalculation. This scores our data about the article, not the article itself.

Abstract

The article presents the results of multifractal and statistical analysis changes in the characteristics of the multifractal spectra of a burner flame luminosity waveforms in industrial boilers at different loads and air supply levels to obtain a characteristic space for solving classification problems.