Quickly Enable Predictive Maintenance Using Amazon Monitron, an End-to-End System

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Published Feb 20, 2025

Successfully implementing predictive maintenance requires installing sensors and gateways in order to collect data from your industrial equipment, and building a machine learning (ML) model that analyzes your sensor data to give you valuable insights. However, companies have historically needed skilled technicians and data scientists to piece together these complex solutions from scratch. In this Tech Talk, we will introduce you to Amazon Monitron, an end-to-end system that uses machine learning (ML) to monitor the condition of your equipment and detect abnormal behavior, enabling you to implement predictive maintenance and reduce unplanned downtime. Amazon Monitron includes wireless sensors to capture vibration and temperature data from equipment, a gateway device to securely transfer data to AWS, the Amazon Monitron service that analyzes the data for abnormal equipment conditions using machine learning, and a companion mobile app to set up the devices and receive reports on operating behavior and alerts to potential failures in your machinery. You can start monitoring equipment condition in minutes without any development work or ML experience required.

Learning Objectives:
*Learn how you can install wireless Amazon Monitron Sensors and Gateways using the Amazon Monitron app and start monitoring your equipment in minutes
*Learn how Amazon Monitron secures the sensors, gateways, and the communication between them and the Amazon Monitron service, and encrypts your data at rest and in transit
*Learn how Amazon Monitron continually improves over time, by allowing your technicians to easily enter feedback on the alerts in the mobile app

***To learn more about the services featured in this talk, please visit: https://aws.amazon.com/monitron Subscribe to AWS Online Tech Talks On AWS:
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