Fuzzy Change Detection
Mostrando 1-5 de 5 artigos, teses e dissertações.
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1. MONITORING THE STATOR CURRENT IN INDUCTION MACHINES FOR POSSIBLE FAULT DETECTION: A FUZZY/BAYESIAN APPROACH FOR THE PROBLEM OF TIME SERIES MULTIPLE CHANGE POINT DETECTION
ABSTRACT This paper addresses the problem of fault detection in stator winding of induction machine by a multiple change points detection approach in time series. To handle this problem a new fuzzy/Bayesian approach is proposed which differs from previous approaches since it does not require prior information as: the number of change points or the characteri
Pesqui. Oper.. Publicado em: 2016-08
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2. A fuzzy/Bayesian approach for the time series change point detection problem
This paper addresses the change point detection problem in time series. A methodology based on the Metropolis-Hastings algorithm applied to time series modeled as a process with Beta distribution is discussed. In order to make this methodology useful in practice, a fuzzy cluster technique is applied to the initial time series at first, generating a new data
Pesquisa Operacional. Publicado em: 2011-08
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3. Detecção de mudanças a partir de imagens de fração
Land cover change detection is a major goal in multitemporal remote sensing applications. It is well known that images acquired on different dates tend to be highly influenced by radiometric differences and registration problems. Using fraction images, obtained from the linear model of spectral mixing (LMSM), radiometric problems can be minimized and the int
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 2011
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4. Uma Abordagem fuzzy na detecção automática de mudanças do uso do solo usando imagens de fração e de informações de contexto espacial / A fuzzy approach to land use automatic change detection using fraction images and spatial context information
Nesta dissertação está proposta uma metodologia para fins de detecção de mudanças do uso do solo em imagens multitemporais de sensoriamento remoto. Em lugar de classificar os pixels de imagens que cobrem uma cena, em duas classes exaustivas e mutuamente excludentes (mudança, não-mudança), propõe-se adotar uma abordagem do tipo fuzzy, na qual são e
Publicado em: 2010
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5. 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