An Augmented Reality-Assisted Prognostics and Health Management System Based on Deep Learning for IoT-Enabled Manufacturing
With increasingly advanced Internet of Things (IoT) technology, the composition of workshop equipment has become more and more complex. Based on this, the rate of system performance degradation and the probability of fault have both increased. Owing to this, not only has the difficulty of constructi...
Main Authors: | Liping Wang, Dunbing Tang, Changchun Liu, Qingwei Nie, Zhen Wang, Linqi Zhang |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-08-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/22/17/6472 |
Similar Items
-
SAR.IoT: Secured Augmented Reality for IoT Devices Management
by: Daniel Fuentes, et al.
Published: (2021-09-01) -
An IoT-Enabled Platform for the Assessment of Physical and Mental Activities Utilizing Augmented Reality Exergaming
by: Dionysios Koulouris, et al.
Published: (2022-04-01) -
Applying Hybrid Lstm-Gru Model Based on Heterogeneous Data Sources for Traffic Speed Prediction in Urban Areas
by: Noureen Zafar, et al.
Published: (2022-04-01) -
IoT innovation clusters in Europe and the case for public policy
by: Luca Alessandro Remotti
Published: (2021-01-01) -
BrainyEdge: An AI-enabled framework for IoT edge computing
by: Kim-Hung Le, et al.
Published: (2023-04-01)