Announcing Amazon Lookout for Equipment, a service which detects abnormal equipment behavior and enable predictive maintenance
Today, we are excited to announce Amazon Lookout for Equipment, a service which provides customers with existing sensors on their industrial equipment, a way to send their sensor data to AWS to build machine learning models for them and return predictions to detect abnormal equipment behavior. This enables predictive maintenance that allows them to take action before machine failures occur and avoid unplanned downtime.
Successfully implementing predictive maintenance depends on you using the data collected from all of your machine sensors, under your unique operating conditions, and then applying sophisticated machine learning (ML) techniques to detect abnormal machine conditions as early as possible. Amazon Lookout for Equipment analyzes data from sensors on your equipment, such as pressure, flow rate, RPMs, temperature, and power to automatically train a specific ML model based on just your data, for your equipment – with no ML expertise required. Lookout for Equipment then uses your own unique ML model to analyze incoming sensor data in real-time and accurately identify early warning signs that could lead to machine failures. This means you can detect equipment abnormalities with speed and precision, quickly diagnose issues, take action to reduce expensive downtime, and reduce false alerts. Amazon Lookout for Equipment can analyze up to 300 sensors in one model from a broad range of industrial machinery such as wind turbines, compressors, and generators to provide a real time health assessment of your equipment.
Amazon Lookout for Equipment is available in preview in the US East (N. Virginia), EU West (Ireland), and Asia Pacific (Seoul) regions. Learn more about Amazon Lookout for Equipment and get started today.