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Description
Smart Vibration Monitoring System: AI-Powered Guardian of Equipment Health
To address the high downtime costs and maintenance pressures in modern manufacturing, ICP DAS presents the Smart Vibration Monitoring System, integrating high-precision sensing modules (such as PET-AR400, ET-2218, PET-7H16M) with the AIB-2941M AI Controller equipped with built-in edge AI computing. Leveraging deep learning models such as LSTM and CNN, the system enables real-time anomaly detection and Remaining Useful Life (RUL) prediction, helping users shift from reactive maintenance to predictive maintenance.
This system is widely applicable to process equipment such as motors, bearings, fans, and pumps, and supports standard communication protocols including MQTT, Modbus, and SNMP over TLS. Real-time data and diagnostic results can be integrated into cloud platforms or SCADA systems, significantly enhancing production efficiency and operational stability.
To address the high downtime costs and maintenance pressures in modern manufacturing, ICP DAS presents the Smart Vibration Monitoring System, integrating high-precision sensing modules (such as PET-AR400, ET-2218, PET-7H16M) with the AIB-2941M AI Controller equipped with built-in edge AI computing. Leveraging deep learning models such as LSTM and CNN, the system enables real-time anomaly detection and Remaining Useful Life (RUL) prediction, helping users shift from reactive maintenance to predictive maintenance.
This system is widely applicable to process equipment such as motors, bearings, fans, and pumps, and supports standard communication protocols including MQTT, Modbus, and SNMP over TLS. Real-time data and diagnostic results can be integrated into cloud platforms or SCADA systems, significantly enhancing production efficiency and operational stability.
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