ANALYSIS DATA SETS USING HYBRID TECHNIQUES APPLIED ARTIFICIAL INTELLIGENCE BASED PRODUCTION SYSTEMS INTEGRATED DESIGN

The paper proposes a prediction model of behavior spindle from the point of view of the thermal deformations and the level of the vibrations by highlighting and processing the characteristic equations. This is a model analysis for the shaft with similar electro-mechanical characteristics can be achi...

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Main Authors: Daniel-Petru GHENCEA, Miron ZAPCIU, Claudiu-Florinel BISU, Elena-Iuliana BOTEANU, Elena-Luminita OLTEANU
Format: Article
Language:English
Published: Editura Academiei Oamenilor de Știință din România 2017-06-01
Series:Annals: Series on engineering sciences (Academy of Romanian Scientists)
Subjects:
Online Access:http://aos.ro/wp-content/anale/TVol9Nr1Art.6.pdf
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spelling doaj-694cfc992edf4ddca6a6520ff9c1714c2020-11-24T22:19:28Zeng Editura Academiei Oamenilor de Știință din România Annals: Series on engineering sciences (Academy of Romanian Scientists)2066-69502066-85702017-06-01916177ANALYSIS DATA SETS USING HYBRID TECHNIQUES APPLIED ARTIFICIAL INTELLIGENCE BASED PRODUCTION SYSTEMS INTEGRATED DESIGNDaniel-Petru GHENCEA0Miron ZAPCIU1Claudiu-Florinel BISU2Elena-Iuliana BOTEANU3Elena-Luminita OLTEANU4University POLITEHNICA of Bucharest, RomaniaUniversity POLITEHNICA of Bucharest; Academy of Romanian ScientistsUniversity POLITEHNICA of Bucharest, RomaniaUniversity POLITEHNICA of Bucharest, RomaniaUniversity POLITEHNICA of Bucharest, RomaniaThe paper proposes a prediction model of behavior spindle from the point of view of the thermal deformations and the level of the vibrations by highlighting and processing the characteristic equations. This is a model analysis for the shaft with similar electro-mechanical characteristics can be achieved using a hybrid analysis based on artificial intelligence (genetic algorithms - artificial neural networks - fuzzy logic). The paper presents a prediction mode obtaining valid range of values for spindles with similar characteristics based on measured data sets from a few spindles test without additional measures being required. Extracting polynomial functions of graphs resulting from simultaneous measurements and predict the dynamics of the two features with multi-objective criterion is the main advantage of this method.http://aos.ro/wp-content/anale/TVol9Nr1Art.6.pdffuzzy logicartificial neural networkgenetic algorithmsMatlab R2011bVGD 1.7
collection DOAJ
language English
format Article
sources DOAJ
author Daniel-Petru GHENCEA
Miron ZAPCIU
Claudiu-Florinel BISU
Elena-Iuliana BOTEANU
Elena-Luminita OLTEANU
spellingShingle Daniel-Petru GHENCEA
Miron ZAPCIU
Claudiu-Florinel BISU
Elena-Iuliana BOTEANU
Elena-Luminita OLTEANU
ANALYSIS DATA SETS USING HYBRID TECHNIQUES APPLIED ARTIFICIAL INTELLIGENCE BASED PRODUCTION SYSTEMS INTEGRATED DESIGN
Annals: Series on engineering sciences (Academy of Romanian Scientists)
fuzzy logic
artificial neural network
genetic algorithms
Matlab R2011b
VGD 1.7
author_facet Daniel-Petru GHENCEA
Miron ZAPCIU
Claudiu-Florinel BISU
Elena-Iuliana BOTEANU
Elena-Luminita OLTEANU
author_sort Daniel-Petru GHENCEA
title ANALYSIS DATA SETS USING HYBRID TECHNIQUES APPLIED ARTIFICIAL INTELLIGENCE BASED PRODUCTION SYSTEMS INTEGRATED DESIGN
title_short ANALYSIS DATA SETS USING HYBRID TECHNIQUES APPLIED ARTIFICIAL INTELLIGENCE BASED PRODUCTION SYSTEMS INTEGRATED DESIGN
title_full ANALYSIS DATA SETS USING HYBRID TECHNIQUES APPLIED ARTIFICIAL INTELLIGENCE BASED PRODUCTION SYSTEMS INTEGRATED DESIGN
title_fullStr ANALYSIS DATA SETS USING HYBRID TECHNIQUES APPLIED ARTIFICIAL INTELLIGENCE BASED PRODUCTION SYSTEMS INTEGRATED DESIGN
title_full_unstemmed ANALYSIS DATA SETS USING HYBRID TECHNIQUES APPLIED ARTIFICIAL INTELLIGENCE BASED PRODUCTION SYSTEMS INTEGRATED DESIGN
title_sort analysis data sets using hybrid techniques applied artificial intelligence based production systems integrated design
publisher Editura Academiei Oamenilor de Știință din România
series Annals: Series on engineering sciences (Academy of Romanian Scientists)
issn 2066-6950
2066-8570
publishDate 2017-06-01
description The paper proposes a prediction model of behavior spindle from the point of view of the thermal deformations and the level of the vibrations by highlighting and processing the characteristic equations. This is a model analysis for the shaft with similar electro-mechanical characteristics can be achieved using a hybrid analysis based on artificial intelligence (genetic algorithms - artificial neural networks - fuzzy logic). The paper presents a prediction mode obtaining valid range of values for spindles with similar characteristics based on measured data sets from a few spindles test without additional measures being required. Extracting polynomial functions of graphs resulting from simultaneous measurements and predict the dynamics of the two features with multi-objective criterion is the main advantage of this method.
topic fuzzy logic
artificial neural network
genetic algorithms
Matlab R2011b
VGD 1.7
url http://aos.ro/wp-content/anale/TVol9Nr1Art.6.pdf
work_keys_str_mv AT danielpetrughencea analysisdatasetsusinghybridtechniquesappliedartificialintelligencebasedproductionsystemsintegrateddesign
AT mironzapciu analysisdatasetsusinghybridtechniquesappliedartificialintelligencebasedproductionsystemsintegrateddesign
AT claudiuflorinelbisu analysisdatasetsusinghybridtechniquesappliedartificialintelligencebasedproductionsystemsintegrateddesign
AT elenaiulianaboteanu analysisdatasetsusinghybridtechniquesappliedartificialintelligencebasedproductionsystemsintegrateddesign
AT elenaluminitaolteanu analysisdatasetsusinghybridtechniquesappliedartificialintelligencebasedproductionsystemsintegrateddesign
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