BriefGPT.xyz
Dec, 2016
基于长短期记忆模型的多元工业时间序列防篡改检测仿真
Multivariate Industrial Time Series with Cyber-Attack Simulation: Fault Detection Using an LSTM-based Predictive Data Model
HTML
PDF
Pavel Filonov, Andrey Lavrentyev, Artem Vorontsov
TL;DR
基于LSTM神经网络的多元时间序列数据监测和故障检测，采用Modelica模型进行验证，引入阈值筛选机制并过滤超出操作者兴趣范围的故障。
Abstract
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
→