Neural network inference of biomass fuel moisture during combustion process evaluating of directly unmeasurable variables

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21220%2F14%3A00218595" target="_blank" >RIV/68407700:21220/14:00218595 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.1109/CarpathianCC.2014.6843689" target="_blank" >http://dx.doi.org/10.1109/CarpathianCC.2014.6843689</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/CarpathianCC.2014.6843689" target="_blank" >10.1109/CarpathianCC.2014.6843689</a>

Result language

angličtina

Original language name

Neural network inference of biomass fuel moisture during combustion process evaluating of directly unmeasurable variables

Original language description

There are discussed various approaches to the evaluation of variables whose values are for any reason impossible to be measured directly. For moisture evaluation of combusted fuel, several formula were previously proposed. In the investigations reportedin the paper they have been examined which of them is the most suitable for the moisture inference gained in small-scale biomass fired boilers. In the proposed neural network based on two neurons, the back propagation method has been used for derivationof the adaptation rule. Results of the evaluation are based on real data obtained in the experiments carried on a prototype 100 kW of Fiedler biomass boiler. The boiler has a special instrumentation making possible to check correctness of obtained results not only in the values of moisture but also in the other parameters occurring in the used formula.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

JB - Sensors, detecting elements, measurement and regulation

OECD FORD branch

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Project

<a href="/en/project/TA02020836" target="_blank" >TA02020836: Research in Intelligent Methods for Economical-Environmental Control of 100 kW Residual Biomass Boiler Prototype</a><br>

Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2014

Confidentiality

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

Article name in the collection

2014 15th International Carpathian Control Conference (ICCC)

ISBN

978-1-4799-3528-4

ISSN

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e-ISSN

—

Number of pages

4

Pages from-to

671-674

Publisher name

IEEE Computer Society

Place of publication

Los Alamitos

Event location

Velké Karlovice

Event date

May 28, 2014

Type of event by nationality

EUR - Evropská akce

UT code for WoS article

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