Health monitoring of air compressors using reconstruction-based deep learning for anomaly detection with increased transparency

HIGHLIGHTS

  • who: Magnus Gribbestad and collaborators from the Department of ICT and Natural Sciences, Norwegian University of Science and Technology (NTNU) have published the article: Health Monitoring of Air Compressors Using Reconstruction-Based Deep Learning for Anomaly Detection with Increased Transparency, in the Journal: Entropy 2021, 23, 83. of /2021/
  • what: In this paper a descriptive range of the deviation on the techniques is proposed. This project compares and explores the use of LSTM, convolutional neural_network (CNN), DBN, and variants of AEs to detect anomalous behaviour in air compressors. The input data is formatted as an . . .

     

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