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Proposta de um método para bloqueio do esquema regional de alívio de carga frente a inércia rotativa de desligamento dos motores de indução
(Universidade Federal de Santa Maria, 2021-02-26)
The Under Frequency Load Shedding (UFLS) is an important systemic protection method used to prevent the electrical system from collapsing when the available generation is less than the load demanded. Traditionally, UFLS ...
Previsão de dados de níveis de água subterrânea utilizando modelos baseados em aprendizado de máquina
(Universidade Federal de Santa Maria, 2022-02-16)
Historical records of groundwater levels in tubular wells are important for environmental studies in water resources field. Monitoring the level of groundwater sources is essential for their management as it provides the ...
K vizinhos mais próximos circular: uma nova proposta para predição de dados angulares
(Universidade Federal de Santa Maria, 2022-03-11)
Circular data are present in several areas of science and lack specific statistical methods for
their treatment. The calculation of descriptive statistics for data of a linear nature, for example,
does not result in ...
Estudo de algoritmos de aprendizado de máquina na predição de apneia do sono por sinais de EEG
(Universidade Federal de Santa Maria, 2022-02-17)
Sleep apnea is a sleep disorder characterized by partial or total obstruction of airflow in the respiratory
tract. This leads to reduced blood oxygenation, inducing awakening. In the long term, it
leads the person to ...
Simulação numérica de motores elétricos e construção de banco de dados para plataforma de prognóstico de falhas
(Universidade Federal de Santa Maria, 2022-08-01)
In practically all machines used inside a factory there is an electric motor, responsible for
moving components. As with other mechanisms, engines are subject to operating failures. With
the extensive use of these ...
Máquina de vetores de suporte e técnicas estatísticas para previsão e classificação de falha de turbinas eólicas
(Universidade Federal de Santa Maria, 2021-03-25)
Wind energy is dominant technology among the generation of renewable energies in Brazil and due to the high growth in recent years there is a need to develop accurate fault diagnosis techniques in wind turbines to reduce ...
Identificação de perdas não técnicas em sistemas de distribuição agregando dados exógenos e inteligência artificial
(Universidade Federal de Santa Maria, 2022-08-29)
Identifying of Non-Technical Losses (NTL) is one of the most challenging tasks in power
distribution systems due to its technical difficulty, adversities encountered in locus and cost of
moving units for verification in ...
Uma metodologia para identificação de perdas não técnicas em unidades consumidoras irrigantes de café do estado de São Paulo
(Universidade Federal de Santa Maria, 2022-07-29)
Within the rural network, several factors can influence the difficulty on the part of distributors
to locate fraudulent or irregular consumer units that may be causing non-technical losses, such
as, for example, the ...
Deep learning-based oriented object detection in remote sensing imagery: YOLOv7-OBB
(Universidade Federal de Santa Maria, 2023-01-25)
Remote sensing (RS) is the act of processing and extracting meaningful features about
the ground and objects observed at a distance, usually from a much higher position from aircraft and satellites. Due to the large field ...
Modelos de aprendizado de máquina interpretáveis aplicados na predição da separação e purificação de frutooligosacarídeos
(Universidade Federal de Santa Maria, 2023-02-16)
Fructooligosaccharides separation and purification are crucial for industrial applications where such methods are critically needed. However, some specific characteristics of the process can affect the selectivity of the ...