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

  title={Autoencoder-based Condition Monitoring and Anomaly Detection Method for Rotating Machines},
  author={Sabtain Ahmad and Kevin Styp-Rekowski and Sasho Nedelkoski and Odej Kao},
  journal={2020 IEEE International Conference on Big Data (Big Data)},
Rotating machines like engines, pumps, or turbines are ubiquitous in modern day societies. Their mechanical parts such as electrical engines, rotors, or bearings are the major components and any failure in them may result in their total shutdown. Anomaly detection in such critical systems is very important to monitor the system’s health. As the requirement to obtain a dataset from rotating machines where all possible faults are explicitly labeled is difficult to satisfy, we propose a method… 
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