eduzhai > Applied Sciences > Engineering >

Proactive Network Maintenance using Fast Accurate Anomaly Localization and Classification on 1-D Data Series

  • king
  • (0) Download
  • 20210506
  • Save

... pages left unread,continue reading

Document pages: 11 pages

Abstract: Proactive network maintenance (PNM) is the concept of using data from anetwork to identify and locate network faults, many or all of which couldworsen to become service failures. The separation between the network fault andthe service failure affords early detection of problems in the network to allowPNM to take place. Consequently, PNM is a form of prognostics and healthmanagement (PHM).The problem of localizing and classifying anomalies on 1-dimensional dataseries has been under research for years. We introduce a new algorithm thatleverages Deep Convolutional Neural Networks to efficiently and accuratelydetect anomalies and events on data series, and it reaches 97.82 mean averageprecision (mAP) in our evaluation.

Please select stars to rate!

         

0 comments Sign in to leave a comment.

    Data loading, please wait...
×