Amazon Lookout for Equipment uses industrial data from your equipment to detect potential failures so you can take action, such as performing maintenance before a breakdown, to avoid unplanned downtime.


User guide

The user guide provides a conceptual overview of Amazon Lookout for Equipment, offers detailed instructions for using various features, and includes a complete API reference for developers.


Amazon Lookout for Equipment demo

The AWS Samples GitHub repository for Amazon Lookout for Equipment contains examples illustrating how you can start building your anomaly detection application for your industrial assets. The examples are in Jupyter Notebooks and contain detailed commentaries and explanations making it easy to understand how to use the service. They include step-by-step guidance for configuring the Boto3 API for Lookout for Equipment and invoking various APIs for preparing the data, creating a dataset, training a model, evaluating a model, and scheduling an inferencer. You can also find helper functions for visualizing your time series data.



Analyze Existing Sensor Data to Detect Abnormal Equipment Behavior with Amazon Lookout for Equipment
AWS re:Invent 2020: Detect abnormal equipment behavior by analyzing sensor data (27:46)
AWS re:Invent 2020: AWS for Industrial with Matt Wood (15:27)


New – Amazon Lookout for Equipment Analyzes Sensor Data to Help Detect Equipment Failure
by Harunobu Kameda
Dec 1, 2020

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