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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Editura Academiei Oamenilor de Știință din România
2017-06-01
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Series: | Annals: Series on engineering sciences (Academy of Romanian Scientists) |
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Online Access: | http://aos.ro/wp-content/anale/TVol9Nr1Art.6.pdf |
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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 |
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1725779034900529152 |