Design and Identification Problems of Rotor Bearing Systems Using the Simulated Annealing Algorithm

Lobato, Fran Sérgio; Assis, Elaine Gomes; Steffen, Valder; Neto, Antônio José da Silva

doi:10.5772/47833

Cited by 5 publications

(1 citation statement)

References 31 publications

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“…Assim, foi possível mostrar que a impedância mecânica nos pontos onde ocorria "rubbing" aumentava, enquanto que em outros pontos, mantinha-se redes neurais para detectar o posicionamento do desbalanceamento ao longo do rotor e sua severidade. Foi concluído que a utilização do método das redes neurais, por necessitar dados treinados contendo todas as características do mecanismo com falha, podia não ser viável em situações práticas Castro et al (2007),. se utilizaram do mesmo modelo para identificar os coeficientes dinâmicos do mancal e também o desbalanceamento.…”

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Sistemas rotativos sujeitos às não linearidades de mancais lubrificados

Alves¹

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Este trabalho não poderia ser terminado sem a ajuda de diversas pessoas às quais presto minha homenagem: À professora Katia Lucchesi Cavalca Dedini, não só por todo conhecimento transmito ao longo desses anos, mas também pela ajuda na formação pessoal, paciência e oportunidades proporcionadas.Ao grande amigo, e agora professor, Tiago Henrique Machado pelas discussões técnicas, sugestões, auxílio nos testes experimentais e, principalmente, amizade.

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Sistemas rotativos sujeitos às não linearidades de mancais lubrificados

Alves¹

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MSANOS: Data-Driven, Multi-Approach Software for Optimal Redesign of Environmental Monitoring Networks

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et al. 2014

Water Resour Manage

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Within the recent EU Water Framework Directive and the modification introduced into national water-related legislation, monitoring assumes great importance in the frame of territorial managerial activities. Recently, a number of public environmental agencies have invested resources in planning improvements to existing monitoring networks. In effect, many reasons justify having a monitoring network that is optimally arranged in the territory of interest. In fact, modest or sparse coverage of the monitored area or redundancies and clustering of monitoring locations often make it impossible to provide the manager with sufficient knowledge for decision-making processes. The above mentioned are typical cases requiring optimal redesign of the whole network; fortunately, using appropriate stochastic or deterministic methods, it is possible to rearrange the existing network by eliminating, adding, or moving monitoring locations and producing the optimal arrangement with regard to specific managerial objectives. This paper describes a new software application, MSANOS, containing some spatial optimization methods selected as the most effective among those reported in literature. In the following, it is shown that MSANOS is actually able to carry out a complete redesign of an existing monitoring network in either the addition or the reduction sense. Both model-based and design-based objective functions have been embedded in the software with the option of choosing, case by case, the most suitable with regard to the available information and the managerial optimization objectives. Finally, two applications for testing the goodness of an existing monitoring network and the optimal reduction of an existing groundwater-level monitoring network of the aquifer of Tavoliere located in Apulia (South Italy), constrained to limit the information loss, are presented.

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