Fault Detection And Diagnosis
Mostrando 13-23 de 23 artigos, teses e dissertações.
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13. 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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14. 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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15. 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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16. 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
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17. Fault detection and diagnosis in robotic manipulators via artificial neural networks. / Detecção e diagnóstico de falhas em robôs manipuladores via redes neurais artificiais.
In this work, a new approach for fault detection and diagnosis in robotic manipulators is presented. A faulty robot could cause serious damages and put in risk the people involved. Usually, researchers have proposed fault detection and diagnosis schemes based on the mathematical model of the system. However, modeling errors could obscure the fault effects an
Publicado em: 1999
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18. Automatic fault detection in spark engine using neural network / Detecção automática de falhas em motores de combustão interna utilizando rede neural
This work presents the implementation of an automatic diagnosis tool of some faults founded in spark engine. Firstly, a cinematic study of the fault generating mechanisms is presented, and a partially modal analysis of an engine is illustrated, objectifying to provide information on how the vibratory energy spreads of these mechanisms to the sensor that capt
Publicado em: 1999
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19. Detecção e diagnostico de falhas em sistemas dinamicos utilizando redes neurais e logica nebulosa
Fault detection and diagnosis methods have been intensively studied lately, as a result of the demand for systems of greater reliability. In this work, computational intelligence methods were adopted, in a configuration that uses artificial neural networks and fuzzy logic for monitoring dynamic systems represented by state-space models of adequate dimension.
Publicado em: 1999
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20. Fault detection and location in stationary mechanical systems through correlation functions / Detecção e localização de falhas em sistemas mecanicos estacionarios atraves de funções de correlação
Este trabalho aborda o problema de detecção e localização de falhas em sistemas mecânicos através de modelos matemáticos. Considera-se que o sistema mecânico seja representado por um modelo dinâmico na forma de variáveis de estado, com parâmetros constantes e entradas estacionárias. Definindo-se, apropriadamente, funções de correlação e explo
Publicado em: 1998
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21. SISTEMA HÍBRIDO DE APOIO À DECISÃO PARA DETECCÇÃO E DIAGNÓSTICO DE FALHAS EM REDES ELÉTRICAS / HYBRID DECISION SUPPORT SYSTEM FOR DETECTION AND DIAGNOSIS OF FAULTS IN ELECTRICAL NETWORKS
This work examines the application of hybrid systems based on Artificial Neural Networks (ANN) and Expert Systems (ES) in detecting and diagnosing faults in Electrical Systems. The research consists of three main parts: the study of cases. In the study of problem, was examined, the importance of detecting and diagnosing faults in Electrical Systems concentra
Publicado em: 1997
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22. Estrategias de detecção e diagnostico de falhas em sistemas dinamicos
Analytical redundancy for fault detection and diagnosis of dynamic systems, FDD, has been approached by several methodologies, state estimation, parameter estimation, expert systems, and pattern classification and recognition being typical examples. In particular, pattern classification and recognition methods adopt probabilistic, heuristic, neural, and fuzz
Publicado em: 1997
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23. Contribuição a minimização e simulação de circuitos logicos
This work deals with some aspects related to synthesis, analysis and simplification of logic circuits. The boolean algebra is introduced through basic axioms, as well as the dalgorithm for fault detection studying logical circuits. For the minimization of boolean functions a procedure that yields a quasi-minimum cover to the functions is presented. It is bas
Publicado em: 1989