Amazon Lookout for Equipment

Avoid unplanned downtime by automatically detecting abnormal equipment behavior

Try Lookout for Equipment for 1 month free

with the AWS Free Tier

Use data from existing sensors to create machine learning (ML) models specific to your equipment.

Respond with speed and precision with automatic equipment monitoring that pinpoints anomalous sensors.

Accelerate issue resolution with immediate notifications and automatic actions when anomalies are detected.

Improve model performance and accuracy of alerts by incorporating anomaly trends and feedback.

How it works

Amazon Lookout for Equipment is an ML industrial equipment monitoring service that detects abnormal equipment behavior so you can act and avoid unplanned downtime.

Diagram shows how Lookout for Equipment uses historical data and maintenance records to automatically detect anomalies in your equipment.
¿Qué es Amazon Lookout for Equipment? (1:44)
¿Por qué usar Amazon Lookout for Equipment?
Amazon Lookout for Equipment analiza automáticamente los datos de los sensores de los equipos industriales para detectar comportamientos anómalos de las máquinas. Esto le permite identificar anomalías del equipo con rapidez y precisión, diagnosticar problemas rápidamente y tomar medidas para evitar tiempos de inactividad no planificados, sin necesidad de experiencia en ML.
¿Por qué usar Amazon Lookout for Equipment?
Amazon Lookout for Equipment analiza automáticamente los datos de los sensores de los equipos industriales para detectar comportamientos anómalos de las máquinas. Esto le permite identificar anomalías del equipo con rapidez y precisión, diagnosticar problemas rápidamente y tomar medidas para evitar tiempos de inactividad no planificados, sin necesidad de experiencia en ML.

Use cases

Detect generator shutdowns

Accurately monitor sensor data on flow rates, temperature, pressure, and oxygen levels and get alerts to avoid untimely shutdowns.

Identify abnormal machine behavior

Analyze historical maintenance and sensor data about RPMs, flow rates, temperature, pressure, and vibration to learn trends.

Improve alert accuracy over time

Enhance model performance and alert accuracy by incorporating human feedback on anomalies and learning predicted operational usage trends.

How to get started

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