Enhancing Predictive Maintenance in Mining Mobile Machinery Through a Hierarchical Inference Network

Enhancing Predictive Maintenance in Mining Mobile Machinery Through a Hierarchical Inference Network

Mining mobile machinery in non-stationary operations faces high levels of wear and unpredictable stress, posing significant challenges for predictive maintenance (PdM). This paper introduces a hierarchical inference network for PdM consisting on edge sensor devices, gateways, and cloud services for...

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Bibliographic Details
Main Authors: Raul de la Fuente, Luciano Radrigan, Anibal S. Morales
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Internet of Things
edge computing
cloud computing
deep learning
TinyML
heavy machinery
Online Access:https://ieeexplore.ieee.org/document/10948425/
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https://ieeexplore.ieee.org/document/10948425/

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