most citedMultivariate Industrial Time Series with Cyber-Attack Simulation: Fault Detection Using an LSTM-based Predictive Data Model

78 citations · 78 across the 1 of their papers we have counts for

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cs.LG2016★ 78 cited

Multivariate Industrial Time Series with Cyber-Attack Simulation: Fault Detection Using an LSTM-based Predictive Data Model

Pavel Filonov, Andrey Lavrentyev, Artem Vorontsov

We adopted an approach based on an LSTM neural network to monitor and detect faults in industrial multivariate time series data. To validate the approach we created a Modelica mode…