Výsledky vyhledávání - "Vinícius Barroso Soares"

Akademický článek

ALGORITHM FOR DETECTION AND DIAGNOSIS OF INDUSTRIAL FURNACE FAULTS APPLYING SINGULAR VALUE DECOMPOSITION AND GRAPHIC VISUALIZATION

Autor: Amanda Vilela Fonseca, Reinaldo Francisco Teófilo, Vinícius Barroso Soares, Deusanilde de Jesus Silva

Publikováno v: The Journal of Engineering and Exact Sciences, Vol 3, Iss 7, Pp 0920-0932 (2017)

The development of an algorithm based on singular value decomposition with graphic visualization to aid in the fault detection and diagnosis was the aim of this work. In order to test the algorithm, real temperature data from an industrial furnace of

Externí odkaz: https://doaj.org/article/997d25750c104b5e80fcd038d4eaabb5

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Use of Non-linear Empirical Models to Predict the Substrate Degradation, Enzymatic Activity and Cell Growth in a Bioreactor with Aspergillus niger and Sugarcane Bagasse

Autor: Thais Caliman Catelan, Vinícius Barroso Soares, Laura Marina Pinotti

Publikováno v: Waste and Biomass Valorization. 12:4433-4440

The present study concerns to the evaluation of non-linear empirical logistic models applied to bioprocess modeling. The substrate degradation, as a function of fermentation time, enzymatic activity, as a function of substrate degradation, and cell g

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::375b062b17920b01c04aae869b2250e0
https://doi.org/10.1007/s12649-020-01337-2

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Alarm management practices in natural gas processing plants

Autor: Maurício B. de Souza, Vinícius Barroso Soares, José Carlos Pinto

Publikováno v: Control Engineering Practice. 55:185-196

In industrial data sets, groups of variables often move together. Monitoring all these variables may result in many nuisance alarms. However, it is possible to take advantage of redundant information to design and reduce the size of alarm sets. The p

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5a922914bec7e9ce0923936d00922633
https://doi.org/10.1016/j.conengprac.2016.07.004

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Algorithm for detection and diagnosis of industrial furnace faults applying singular value decomposition and graphic visualization

Autor: Deusanilde de Jesus Silva, Reinaldo F. Teófilo, Amanda Vilela Fonseca, Vinícius Barroso Soares

Publikováno v: LOCUS Repositório Institucional da UFV
Universidade Federal de Viçosa (UFV)
instacron:UFV
The Journal of Engineering and Exact Sciences; Vol. 3 No. 7 (2017); 0920-0932
The Journal of Engineering and Exact Sciences; Vol. 3 Núm. 7 (2017); 0920-0932
The Journal of Engineering and Exact Sciences; v. 3 n. 7 (2017); 0920-0932
The Journal of Engineering and Exact Sciences
The Journal of Engineering and Exact Sciences, Vol 3, Iss 7, Pp 0920-0932 (2017)

O desenvolvimento de um algoritmo baseado na decomposição dos valores singulares com visualização gráfica para auxiliar na detecção e no diagnóstico de falhas foi o objetivo deste trabalho. Para testar o algoritmo foram utilizados dados de te

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::350e88105a17ebfb6c51967be7ce39e9
http://www.locus.ufv.br/handle/123456789/20104

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