EDGE AI–DRIVEN PREDICTIVE MAINTENANCE SYSTEM FOR SMART INDUSTRIES
DOI:
https://doi.org/10.48047/q67tkj42Keywords:
Predictive maintenance; Edge AI; Industrial Internet of Things; multi-sensor fusion; vibration analysis; machine fault diagnosis; Raspberry Pi; smart industries.Abstract
Unexpected industrial machinery failures can cause production downtime, increased maintenancezexpenditure, productivity losses, and safety risks. Reactive and fixed-interval preventive maintenance may not identify developing abnormalities at an early stage. This paper presents an Edge AI–driven predictive-maintenance framework
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Published
12.11.2026
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How to Cite
EDGE AI–DRIVEN PREDICTIVE MAINTENANCE SYSTEM FOR SMART INDUSTRIES . (2026). International Journal of Information and Electronics Engineering, 16(2), 754-758. https://doi.org/10.48047/q67tkj42
