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JCR Impact Factor: 0.595
JCR 5-Year IF: 0.661
Issues per year: 4
Current issue: May 2018
Next issue: Aug 2018
Avg review time: 106 days


PUBLISHER

Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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LATEST NEWS

2017-Jun-14
Thomson Reuters published the Journal Citations Report for 2016. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.595, and the JCR 5-Year Impact Factor is 0.661.

2017-Apr-04
We have the confirmation Advances in Electrical and Computer Engineering will be included in the EBSCO database.

2017-Jan-30
We have the confirmation Advances in Electrical and Computer Engineering will be included in the Gale database.

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  1/2005 - 8

Fault Diagnosis of Wall Hang Boliers Using a Neuro-Fuzzy Model

Alexandru BARLEANU, Dragos AROTARITEI
 
Click to see author's profile on See more information about the author on SCOPUS SCOPUS, See more information about the author on IEEE Xplore IEEE Xplore, See more information about the author on Web of Science Web of Science

Not available online | Views: 724

Author keywords
neuro-fuzzy model, fault identification, wall hang boilers, model based fault detection

References keywords
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About this article
Date of Publication: 2005-04-02
Volume 5, Issue 1, Year 2005, On page(s): 51 - 56
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: Not assigned

Abstract
Quick view
A fault diagnosis system based on neuro-fuzzy model is proposed. The wall hang boiler is modeled as a second order fuzzy model in a dynamic configuration. The identification model methos is used as basic tool for estimation of the parameters of neuro-fuzzy system. The signals used in fault diagnosis need various preprocessing phases due to many component tolerances, noises and environment disturbances. The experimental results along with theoretical support are presented.


References | Cited By

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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania


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