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Autoencoder-based Condition Monitoring and Anomaly Detection Method for
  Rotating Machines

Autoencoder-based Condition Monitoring and Anomaly Detection Method for Rotating Machines

27 January 2021
Sabtain Ahmad
K. Styp-Rekowski
S. Nedelkoski
O. Kao
ArXiv (abs)PDFHTML

Papers citing "Autoencoder-based Condition Monitoring and Anomaly Detection Method for Rotating Machines"

4 / 4 papers shown
On the Intersection of Signal Processing and Machine Learning: A Use
  Case-Driven Analysis Approach
On the Intersection of Signal Processing and Machine Learning: A Use Case-Driven Analysis Approach
Sulaiman A. Aburakhia
Abdallah Shami
G. Karagiannidis
294
15
0
25 Mar 2024
A Dataset Fusion Algorithm for Generalised Anomaly Detection in
  Homogeneous Periodic Time Series Datasets
A Dataset Fusion Algorithm for Generalised Anomaly Detection in Homogeneous Periodic Time Series DatasetsIEEE Access (IEEE Access), 2023
Ayman Elhalwagy
T. Kalganova
AI4TS
191
3
0
14 May 2023
Automatic Anomalies Detection in Hydraulic Devices
José A. Solorio
José M. García
Sudip Vhaduri
68
0
0
05 Dec 2022
Federated Learning for Autoencoder-based Condition Monitoring in the
  Industrial Internet of Things
Federated Learning for Autoencoder-based Condition Monitoring in the Industrial Internet of Things
Soeren Becker
K. Styp-Rekowski
O. Stoll
O. Kao
AI4CE
177
17
0
14 Nov 2022
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