Applying Deep Learning for Prognostic Health Monitoring of Aerospace and Building Systems thumbnail
Pause
Mute
Subtitles
Playback speed
0.25
0.5
0.75
1
1.25
1.5
1.75
2
Full screen

Applying Deep Learning for Prognostic Health Monitoring of Aerospace and Building Systems

Published on Nov 07, 20161702 Views

Data-driven prognostics are instrumental in enabling anomaly detection, sensor estimation and prediction in prognostics and health management (PHM) systems. Recent advances in machine learning tech

Related categories