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Anomaly Detection on a Simple MCU with Multiple Sensors: Battery-Powered for Five Years

Anomaly Detection on a Simple MCU with Multiple Sensors: Battery-Powered for Five Years

About This Training

Learn how vibration, ultrasonic or audio sensors can be paired with a low-cost MCU to detect anomalies that predict and identify the root cause of industrial machine failures. After a self-learning procedure, the system transforms multi-sensor data into a small signature capable of identifying anomalies or drifts, which can then generate alerts or alarms. Very low bandwidth, low-power and long-range networks can be used to send this data to the cloud or a remote server for remote equipment monitoring. The battery-powered reference system can run for 5 years on two AA batteries.

Presentation

Anomaly Detection on a Simple MCU with Multiple Sensors: Battery-Powered for Five Years!

Presented by

Jean-marc Darchy
EMEA Power and Energy Manager, NXP Semiconductors

DURATION

33 min

LANGUAGE

English

SKILL LEVEL

Intermediate

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