Feature selection and uncertainty analysis for bubbling fluidized bed oxy-fuel combustion data

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21220%2F21%3A00352430" target="_blank" >RIV/68407700:21220/21:00352430 - isvavai.cz</a>

Result on the web

<a href="https://doi.org/10.3390/pr9101757" target="_blank" >https://doi.org/10.3390/pr9101757</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/pr9101757" target="_blank" >10.3390/pr9101757</a>

Result language

angličtina

Original language name

Feature selection and uncertainty analysis for bubbling fluidized bed oxy-fuel combustion data

Original language description

This paper presents a novel feature extraction and validation technique for data-driven prediction of oxy-fuel combustion emissions in a bubbling fluidized bed experimental facility. The experimental data were analyzed and preprocessed to minimize the size of the data set while preserving patterns and variance and to find an optimal configuration of the feature vector. The Boruta Feature Selection Algorithm (BFSA) finds feature vector’s configuration and the Multiscale False Neighbours Analysis (MSFNA) is newly extended and proposed to validate the BFSA’s design for emission prediction to assure minimal uncertainty in mapping between feature vectors and corresponding outputs. The finding is that the standalone BFSA does not reflect various sampling period setups that appeared significantly influencing the false neighborhood in the design of feature vectors for possible emission prediction, and MSFNA resolves that.

Czech name

—

Czech description

—

Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

21100 - Other engineering and technologies

Project

<a href="/en/project/EF16_019%2F0000753" target="_blank" >EF16_019/0000753: Research centre for low-carbon energy technologies</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2021

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Processes

ISSN

2227-9717

e-ISSN

—

Volume of the periodical

9

Issue of the periodical within the volume

10

Country of publishing house

CH - SWITZERLAND

Number of pages

15

Pages from-to

—

UT code for WoS article

000717091500001

EID of the result in the Scopus database

2-s2.0-85116587363