AWS Machine Learning Blog

Category: Amazon Lookout for Equipment

Detect abnormal equipment behavior and review predictions using Amazon Lookout for Equipment and Amazon A2I

Companies that operate and maintain a broad range of industrial machinery such as generators, compressors, and turbines are constantly working to improve operational efficiency and avoid unplanned downtime due to component failure. They invest heavily in physical sensors (tags), data connectivity, data storage, and data visualization to monitor the condition of their equipment and get […]

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Acoustic anomaly detection using Amazon Lookout for Equipment

As the modern factory becomes more connected, manufacturers are increasingly using a range of inputs (such as process data, audio, and visual) to increase their operational efficiency. Companies use this information to monitor equipment performance and anticipate failures using predictive maintenance techniques powered by machine learning (ML) and artificial intelligence (AI). Although traditional sensors built […]

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Improve operational efficiency with integrated equipment monitoring with TensorIoT powered by AWS

Machine downtime has a dramatic impact on your operational efficiency. Unexpected machine downtime is even worse. Detecting industrial equipment issues at an early stage and using that data to inform proper maintenance can give your company a significant increase in operational efficiency. Customers see value in detecting abnormal behavior in industrial equipment to improve maintenance […]

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