Detecting Faults at the Edge via Sensor Data Fusion Echo State Networks

Detecting Faults at the Edge via Sensor Data Fusion Echo State Networks

The pervasive use of sensors and actuators in the Industry 4.0 paradigm has changed the way we interact with industrial systems. In such a context, modern frameworks are not only limited to the system telemetry but also include the detection of potentially harmful conditions. However, when the numbe...

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Bibliographic Details
Main Authors: Bruneo, D. (Author), De Vita, F. (Author)
Format: Article
Language:English
Published: MDPI 2022
Subjects:
Complex networks
Condition
Data fusion technique
deep learning
Deep learning
Echo state networks
Economic and social effects
edge computing
Edge computing
ESN
fault detection
Fault detection
Faults detection
Industrial plants
Industrial systems
industry 4.0
Industry 4.0
Network architecture
recurrent neural networks
Recurrent neural networks
sensor data fusion
Sensor data fusion
Sensors and actuators
Sensors data fusion
Vibration analysis
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