Fault Diagnosis
Mostrando 25-36 de 44 artigos, teses e dissertações.
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25. Monitoramento permanente de motores de indução trifasicos / On-line monitoring of three-phase induction motors
A predictive maintenance program must include several techniques of monitoring of the electric motors conditions. Among these techniques, probably the two most classic ones are related to electric current and vibration analysis. Unfortunately, in both cases inherent drawbacks make difficult their use in loco on industry plants. As there is a large range of
Publicado em: 2007
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26. Monitoração e diagnóstico para detecção de falhas de sensores utilizando a metodologia GMDH / Monitoring and diagnosis for sensor fault detection using GMDH methodology
O sistema de detecção de falhas e diagnóstico é um sistema de suporte ao operador dedicado a funções específicas que alertam os operadores para problemas de falhas em sensores e atuadores, e auxiliam no diagnóstico antes que os limites normais de alarmes sejam atingidos. Sistemas de suporte ao operador surgiram para diminuir a complexidade dos painé
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 16/02/2006
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27. Fault diagnosis in a rotor supported by active magnetic bearings / Detecção de falhas em rotores sustentados por mancais magneticos ativos
This work applies the methodology of fault diagnosis in rotating machinery supported by active magnetic bearings and active con1rol systems, excited by unbalance and white noise. This diagnostic applies the correlation matrices based on the Ljapunov matrix formulation and artificial neural network for linear stationary systems. The procedure uses only measur
Publicado em: 2006
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28. DEVELOPMENT OF AN ARTIFICIAL NEURAL NETWORK FOR MONITORING AND DIAGNOSIS OF SENSOR FAULT AND DETECTION IN THE IEA-R1 RESEARCH REACTOR AT IPEN / "Utilização de redes neurais artificiais na monitoração e detecção de falhas em sensores do Reator IEA-R1"
The increasing demand on quality in production processes has encouraged the development of several studies on Monitoring and Diagnosis Systems in industrial plant, where the interruption of the production due to some unexpected change can bring risk to the operators security besides provoking economic losses, increasing the costs to repair some damaged equ
Publicado em: 2006
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29. Use of Adaptive Filtering for Fault Detection on Ball Bearings / Utilização de filtros adaptativos para detecção de falhas em mancais de rolamentos
The analysis of vibrations constitutes one of the powerful tools destined for predictive maintenance. In this context, and with the objective of contributing to the improvement of the process of detection and diagnosis of ball bearing faults, the use of the technique of adaptive filtering applied to vibration signals is focused in this work, through the mini
Publicado em: 2006
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30. Detecção e diagnóstico de falhas em motores de indução
This main purpose of this work is to design and implement a system to detect and diagnose electrical faults (stator inter-turn short circuit and broken rotor bars) and mechanical faults (unbalance and shaft misalignments) for three phase induction machines. This approach starts by obtaining the best patterns for fault detection and symmetrical models for the
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 08/07/2005
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31. A generalized model for distributed comparison-based system-level diagnosis
This work introduces a new system-level diagnosis model and an algorithm based on this model: Hi-Comp (Hierarchical Comparison-based Adaptive Distributed System-Level Diagnosis algorithm). This algorithm allows the diagnosis of systems that can be represented by a complete graph. Hi-Comp is the first diagnosis algorithm that is, at the same time, hierarchica
Journal of the Brazilian Computer Society. Publicado em: 2005-04
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32. Fault diagnosis in rotating machinery / Diagnóstico de falhas em máquinas rotativas
Neste trabalho apresenta -se um estudo do comportamento dinâmico de um rotor com trinca no regime transiente, tanto na parada como na partida. Foi desenvolvido um modelo matemático -computacional de um rotor com trinca e foram também realizados testes experimentais com vistas à validação do modelo. Para o estudo experimental, foi construida uma bancada
Publicado em: 2005
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33. Reconhecimento de padrões proteômicos e genômicos por aprendizagem de máquinas para o disgnóstico médico. / Employ machine learning to unveil encrypted molecular patterns within proteomic and genomic profiles to assist in personalized medical diagnosis.
Motivation: Employ machine learning to unveil encrypted molecular patterns within proteomic and genomic profiles to assist in personalized medical diagnosis. Results and conclusions: 1. Proteomic profile studies: Patients with Hodgkins disease (HD), a rare type of lymphoma, had their serum proteomic profile compared to control subjects (CS) in order to searc
Publicado em: 2005
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34. Sistema de substituição : uma tecnica reativa para auto-reparo e auto-diagnostico de planos / Replacement system: a reactive technique for planning sel-repair and self-diagnosis
t: A planner must be prepared to deal with dynamic characteristics of the system it acts upon. Lack of world knowledge, dynamic changes, actions with non-deterministic results and faults may put the environment in a state different from the one the planner was expecting while performing a task. When this happens, the pre-conditions required for the plan may
Publicado em: 2005
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35. Methodology for detection and treatment of failures in manufacturing systems applying Petri Nets. / Metodologia para detecção e tratamento de falhas em sistemas de manufatura através de Rede de Petri.
Falhas são eventos que não podem, pela sua própria natureza, serem totalmente eliminados num sistema de manufatura real. No entanto, a maioria das pesquisas e publicações técnicas nesta área consideram somente a descrição e otimização dos processos normais ou processos isolados de tratamento de falhas. Assim este trabalho é uma contribuição
Publicado em: 2002
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36. Detecção e diagnostico de falhas em sistemas de processos quimicos. Importancia do conhecimento de estados intermediarios de processos dinamicos. Desenvolvimento de uma metodologia baseada em redes neurais
Artificial Neural Networks (ANN) have demonstrated excellent performance in automatic fault detection and diagnosis in many engineering applications. The great problem when using neural networks, is that neural networks perform only as robustly as the data from which they are trained. This means that is necessary to use as much data as possible in order to c
Publicado em: 2000