Analytical Workbench: A Framework to Support Predictive Maintenance of Industrial Systems
Tipo
Artigo de evento
Data de publicação
2020
Periódico
Proceedings - 2020 46th Latin American Computing Conference, CLEI 2020
Citações (Scopus)
0
Autores
Chrysostomo G.G.C.
Vallim M.V.B.A.
Silva L.A.
Filho A.R.A.V.
Vallim M.V.B.A.
Silva L.A.
Filho A.R.A.V.
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Resumo
© 2020 IEEE.This work proposes a framework called Analytical workbench that aims to support the decision making of power generation systems. The framework is structured in three modules. An operational module which receives operating data and prepares it for analysis purposes. The tactical module which allows real time system monitoring. Finally, the strategic module, which allows to make inferences about the future state of the plant's operating data. The results can be seen in a real case study in a Brazilian hydroelectric plant and the main highlights are: identification of faulty sensors, measurement errors, real-time monitoring (every 5 seconds) of all data or just some selected variables and, finally, forecast of the plant's operational status in one more day.
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Assuntos Scopus
Faulty sensor , Hydroelectric plant , Industrial systems , Operating data , Power generation systems , Real case , Real time monitoring