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

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

20 December 2016
Pavel Filonov
Andrey Lavrentyev
A. Vorontsov
ArXivPDFHTML

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

11 / 11 papers shown
Title
RAAD-LLM: Adaptive Anomaly Detection Using LLMs and RAG Integration
Alicia Russell-Gilbert
Sudip Mittal
Shahram Rahimi
Maria Seale
Joseph E. Jabour
Thomas Arnold
Joshua Church
43
1
0
04 Mar 2025
Anomaly Detection for Multivariate Time Series on Large-scale Fluid
  Handling Plant Using Two-stage Autoencoder
Anomaly Detection for Multivariate Time Series on Large-scale Fluid Handling Plant Using Two-stage Autoencoder
S. Naito
Yasunori Taguchi
Kouta Nakata
Yuichi Kato
AI4TS
28
5
0
20 May 2022
Data augmentation through multivariate scenario forecasting in Data
  Centers using Generative Adversarial Networks
Data augmentation through multivariate scenario forecasting in Data Centers using Generative Adversarial Networks
J. Pérez
Patricia Arroba
Jose M. Moya
27
14
0
12 Jan 2022
Adaptive Memory Networks with Self-supervised Learning for Unsupervised
  Anomaly Detection
Adaptive Memory Networks with Self-supervised Learning for Unsupervised Anomaly Detection
Yu-xin Zhang
Jindong Wang
Yiqiang Chen
Hanchao Yu
Tao Qin
AI4TS
33
54
0
03 Jan 2022
Anomaly Detection in Beehives: An Algorithm Comparison
Anomaly Detection in Beehives: An Algorithm Comparison
Padraig Davidson
M. Steininger
Florian Lautenschlager
Anna Krause
Andreas Hotho
40
5
0
08 Oct 2021
Graph Neural Network-Based Anomaly Detection in Multivariate Time Series
Graph Neural Network-Based Anomaly Detection in Multivariate Time Series
Ailin Deng
Bryan Hooi
AI4TS
30
847
0
13 Jun 2021
Anomaly Detection in Beehives using Deep Recurrent Autoencoders
Anomaly Detection in Beehives using Deep Recurrent Autoencoders
Padraig Davidson
M. Steininger
Florian Lautenschlager
Konstantin Kobs
Anna Krause
Andreas Hotho
26
21
0
10 Mar 2020
Time Series Anomaly Detection Using Convolutional Neural Networks and
  Transfer Learning
Time Series Anomaly Detection Using Convolutional Neural Networks and Transfer Learning
Tailai Wen
Roy Keyes
AI4TS
39
125
0
31 May 2019
Deep Learning for Anomaly Detection: A Survey
Deep Learning for Anomaly Detection: A Survey
Raghavendra Chalapathy
Sanjay Chawla
AI4TS
41
1,479
0
10 Jan 2019
Mechanisms for Integrated Feature Normalization and Remaining Useful
  Life Estimation Using LSTMs Applied to Hard-Disks
Mechanisms for Integrated Feature Normalization and Remaining Useful Life Estimation Using LSTMs Applied to Hard-Disks
Sanchita Basak
Saptarshi Sengupta
A. Dubey
27
3
0
21 Oct 2018
Time is of the Essence: Machine Learning-based Intrusion Detection in
  Industrial Time Series Data
Time is of the Essence: Machine Learning-based Intrusion Detection in Industrial Time Series Data
S. D. Antón
Lia Ahrens
Daniel Fraunholz
Hans D. Schotten
11
33
0
20 Sep 2018
1