FORECAST OF MULTIVARIATE TIME SERIES SAMPLED FROM INDUSTRIAL MACHINERY SENSORS

Goal: To evaluate the performance of a set of forecasting methods in the prediction of future values on a dataset of time series collected from sensors installed in an industrial gas turbine. Design/Methodology/Approach: Forecasting methods tested include the use of multivariate and univariate neura...

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Bibliographic Details
Main Author: dos Santos, Heron Felipe Rosas (author)
Other Authors: da Silva, Leila Weitzel Coelho (author), Sobral, Ana Paula Barbosa (author)
Format: article other
Language:eng
Published: 2020
Subjects:
prognostics
time series
forecasting
neural networks
ARIMA
Online Access:https://doi.org/10.14488/BJOPM.2020.010
Country:Brazil
Oai:oai:ojs.bjopm.org.br:article/607

Internet

https://doi.org/10.14488/BJOPM.2020.010

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