PREDICTION THE EVOLUTION OF TEMPERATURE AND VIBRATIONS ON SPINDLE USING ARTIFICIAL NEURAL NETWORKS AND FUZZY LOGIC

Simulation spindle behavior in terms of temperature and vibration at higher speeds is more economical and more secure (avoid undesirable mechanical events) than testing practice. Testing practice has an important role in finalizing the product but throughout the course of prototype testing is more a...

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Main Authors: Daniel Petru GHENCEA, Miron ZAPCIU, Claudiu Florinel BISU
Format: Article
Language:English
Published: Editura Academiei Oamenilor de Știință din România 2016-05-01
Series:Annals: Series on engineering sciences (Academy of Romanian Scientists)
Subjects:
Online Access:http://aos.ro/wp-content/anale/TVol8Nr1Art.4.pdf
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author Daniel Petru GHENCEA
Miron ZAPCIU
Claudiu Florinel BISU
author_facet Daniel Petru GHENCEA
Miron ZAPCIU
Claudiu Florinel BISU
author_sort Daniel Petru GHENCEA
collection DOAJ
description Simulation spindle behavior in terms of temperature and vibration at higher speeds is more economical and more secure (avoid undesirable mechanical events) than testing practice. Testing practice has an important role in finalizing the product but throughout the course of prototype testing is more advantageous economic development simulation parameters based on data sets collected to dangerous speeds. In this paper we present an analysis mode hybrid (artificial neural networks - fuzzy logic) on prediction the evolution of temperatures and vibrations at higher speeds for which no measurements were made. The main advantage of the method is the simultaneous prediction of the dynamics of temperature and vibration levels.
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spelling doaj.art-17181eb9fbcc482ea7284eb43da0c50e2022-12-22T01:01:58ZengEditura Academiei Oamenilor de Știință din RomâniaAnnals: Series on engineering sciences (Academy of Romanian Scientists)2066-69502066-85702016-05-01813952PREDICTION THE EVOLUTION OF TEMPERATURE AND VIBRATIONS ON SPINDLE USING ARTIFICIAL NEURAL NETWORKS AND FUZZY LOGICDaniel Petru GHENCEA0Miron ZAPCIU1Claudiu Florinel BISU2University ”Politehnica” of Bucharest, RomaniaUniversity ”Politehnica” of Bucharest, Academy of Romanian ScientistsUniversity ”Politehnica” of Bucharest, RomaniaSimulation spindle behavior in terms of temperature and vibration at higher speeds is more economical and more secure (avoid undesirable mechanical events) than testing practice. Testing practice has an important role in finalizing the product but throughout the course of prototype testing is more advantageous economic development simulation parameters based on data sets collected to dangerous speeds. In this paper we present an analysis mode hybrid (artificial neural networks - fuzzy logic) on prediction the evolution of temperatures and vibrations at higher speeds for which no measurements were made. The main advantage of the method is the simultaneous prediction of the dynamics of temperature and vibration levels.http://aos.ro/wp-content/anale/TVol8Nr1Art.4.pdfspindleartificial neural networksfuzzy logicANFIS
spellingShingle Daniel Petru GHENCEA
Miron ZAPCIU
Claudiu Florinel BISU
PREDICTION THE EVOLUTION OF TEMPERATURE AND VIBRATIONS ON SPINDLE USING ARTIFICIAL NEURAL NETWORKS AND FUZZY LOGIC
Annals: Series on engineering sciences (Academy of Romanian Scientists)
spindle
artificial neural networks
fuzzy logic
ANFIS
title PREDICTION THE EVOLUTION OF TEMPERATURE AND VIBRATIONS ON SPINDLE USING ARTIFICIAL NEURAL NETWORKS AND FUZZY LOGIC
title_full PREDICTION THE EVOLUTION OF TEMPERATURE AND VIBRATIONS ON SPINDLE USING ARTIFICIAL NEURAL NETWORKS AND FUZZY LOGIC
title_fullStr PREDICTION THE EVOLUTION OF TEMPERATURE AND VIBRATIONS ON SPINDLE USING ARTIFICIAL NEURAL NETWORKS AND FUZZY LOGIC
title_full_unstemmed PREDICTION THE EVOLUTION OF TEMPERATURE AND VIBRATIONS ON SPINDLE USING ARTIFICIAL NEURAL NETWORKS AND FUZZY LOGIC
title_short PREDICTION THE EVOLUTION OF TEMPERATURE AND VIBRATIONS ON SPINDLE USING ARTIFICIAL NEURAL NETWORKS AND FUZZY LOGIC
title_sort prediction the evolution of temperature and vibrations on spindle using artificial neural networks and fuzzy logic
topic spindle
artificial neural networks
fuzzy logic
ANFIS
url http://aos.ro/wp-content/anale/TVol8Nr1Art.4.pdf
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AT mironzapciu predictiontheevolutionoftemperatureandvibrationsonspindleusingartificialneuralnetworksandfuzzylogic
AT claudiuflorinelbisu predictiontheevolutionoftemperatureandvibrationsonspindleusingartificialneuralnetworksandfuzzylogic