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Remote Vibration Monitoring of Combustion Engines Utilising Edge Computing

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Publicado en:Electronics vol. 14, no. 11 (2025), p. 2118
Autor principal: Kociszewski Rafał
Otros Autores: Wojtkowski Wojciech
Publicado:
MDPI AG
Materias:
Combustion
Microelectromechanical systems
Data processing
Data acquisition
Edge computing
Vibration monitoring
Cloud computing
Neural networks
Sensors
Signal processing
Remote monitoring
Vibration analysis
Engines
Acoustics
Real time
Fault detection
Accelerometers
Acceso en línea:Citation/Abstract
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Resumen:This paper presents a remote vibration monitoring system for combustion engines, utilising edge computing technology. The proposed solution aims to enhance real-time data processing and reduce latency by performing computations closer to the data source. The system integrates vibration sensor, edge computing units, and potentially cloud-based analytics to provide continuous monitoring and early fault detection. The research discusses the architecture, data acquisition process, and implementation challenges. The experimental results show that analysing the values of specific vibration signal measures can be effective in identifying engine anomalies. The results suggest that edge processing can significantly contribute to the reliability of vibration monitoring in similar applications.
ISSN:2079-9292
DOI:10.3390/electronics14112118
Fuente:Advanced Technologies & Aerospace Database