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Master's Dissertation
DOI
10.11606/D.18.2012.tde-14052012-101221
Document
Author
Full name
Rafaela Castelhano de Souza
Institute/School/College
Knowledge Area
Date of Defense
Published
São Carlos, 2012
Supervisor
Committee
Brandão, Dennis (President)
Pereira, Carlos Eduardo
Silva, Ivan Nunes da
Title in Portuguese
Diagnóstico da camada física de redes Profibus DP baseado em redes neurais artificiais
Keywords in Portuguese
Automação industrial
Diagnóstico
Processamento de sinais
Redes neurais artificiais
Redes Profibus
Abstract in Portuguese
A rede PROFIBUS DP é o barramento de campo mais utilizado na indústria mundial atualmente. Com o uso cada vez maior desta rede de "chão de fábrica" nas plantas industriais, o diagnóstico rápido de falhas tornou-se extremamente necessário e importante, o que permite minimizar os tempos de parada da instalação e consequentes prejuízos no processo produtivo. Este trabalho apresenta o estudo de técnicas baseadas em Redes Neurais Artificiais (RNA) que serão utilizadas em um trabalho futuro para se fazer um diagnóstico rápido de uma rede PROFIBUS em caso de falha, permitindo através dos conceitos básicos apresentados, uma análise criteriosa do seu desempenho. Inicialmente são apresentados conceitos básicos sobre as redes PROFIBUS DP, tais como arquitetura e versões do protocolo, a descrição da Camada Física, dentre outros assuntos relevantes. Nas etapas seguintes, serão apresentados outros tópicos importantes para entendimento do projeto como, conceitos sobre RNA e métodos de pré-processamento do sinal colhido no osciloscópio.
Title in English
Physical diagnostic for Profibus DP networks based on artificial neural networks
Keywords in English
Artificial neural network
Diagnostic
Industrial automation
Profibus networks
Signal processing
Abstract in English
The PROFIBUS (Process Field Bus) DP is the most popular fieldbus communication used in the worldwide industry. With the increasing use of this network fieldbus in industrial plants, the rapid faults diagnosis has become extremely necessary and important, which minimizes the lodgments time and consequent losses in the production process. This work is based into a Artificial Neural Networks (ANN) tool that will be used to make a rapidly diagnosis of a PROFIBUS network in case of failure, allowing through basic concepts, a careful review of their performance. First the basics of PROFIBUS DP networks are presented, such as architecture and protocol versions, a description of the Physical Layer, among other relevant issues. In the following steps, others important topics to understand the project will be shown, such as, concepts of ANN and pre-processing methods from collected signal.
 
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Rafaela.pdf (1.26 Mbytes)
Publishing Date
2012-05-21
 
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