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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| Main Authors: | Raul de la Fuente, Luciano Radrigan, Anibal S. Morales |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10948425/ |
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