Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Lavrentyev, Andrey"'
We continue to develop our neural network (NN) based forecasting approach to anomaly detection (AD) using the Secure Water Treatment (SWaT) industrial control system (ICS) testbed dataset. We propose genetic algorithms (GA) to find the best NN archit
Externí odkaz:
http://arxiv.org/abs/1807.07282
An RNN-based forecasting approach is used to early detect anomalies in industrial multivariate time series data from a simulated Tennessee Eastman Process (TEP) with many cyber-attacks. This work continues a previously proposed LSTM-based approach to
Externí odkaz:
http://arxiv.org/abs/1709.02232
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 model of part of a real gasoil plant. By introducing hacks into the logic
Externí odkaz:
http://arxiv.org/abs/1612.06676