Scientists have developed a machine-learning model – utilizing K-Means and long short-term memory techniques – that aims to overcome ‘fault detection and classification’ in the operation and ...

Embedded computing and optimized machine learning models make PdM viable in small, distributed and cost-sensitive systems.

With petabytes of sensitive information in its possession, strategy and engineering firm PavCon LLC uses Amazon Web Services Inc. to keep its data secure as a U.S. Air Force contractor. The company ...

Predictive maintenance is widely considered to be the obvious next step for any business with high-capital assets looking to harness machine learning to minimize equipment maintenance costs.

Network infrastructure is one of the key requirements for digital connectivity as it enables seamless communication, t ...

Seasoned manufacturing professionals know the assets that make their products – the assembly robots, CNC machines, and conveyor belts – are just as important as the final products themselves. These ...

What is predictive maintenance (PdM)? It’s the application of instrumentation and intelligence to help determine the condition of equipment and whether maintenance should be performed to avoid ...

Traditional vibration analysis falls short for slow-speed machinery. Augury’s AI-powered platform uses high-frequency ultrasound to deliver real-time diagnostics and predictive insights for low-RPM ...

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