Predictive Maintenance in IoT-Monitored Systems for Fault Prevention

This paper focuses on predictive maintenance for simple machinery systems monitored by the Internet of Things (IoT). As these systems can be challenging to model due to their complexity, diverse typologies, and limited operational lifespans, traditional predictive maintenance approaches face obstacl...

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Veröffentlicht in:	Journal of sensor and actuator networks Jg. 13; H. 5; S. 57
Hauptverfasser:	Zero, Enrico, Sallak, Mohamed, Sacile, Roberto
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 01.10.2024
Schlagworte:	Additive manufacturing Akaike information criterion (AIC) Analysis Case studies Clustering Data analysis Decision making Deep learning Effectiveness Embedded systems Failure Fault detection Fault diagnosis fault prediction Internet of Things internet of things (IoT) Machine learning Machinery Methods Network topologies Neural networks Pattern recognition Power Predictive maintenance Preventive maintenance Quality assurance reliability analysis Repair & maintenance Sensors Support vector machines Ubiquitous computing
ISSN:	2224-2708, 2224-2708
Online-Zugang:	Volltext
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