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

Maybe you don’t think much about it when a machine is new. But over time, a machining center is going to require more than routine maintenance. Sooner or later mechanical components are going to wear, ...

Today’s consumers live in a data-driven world where they can easily access information about their homes, cars, banking and much more right from their mobile devices. Similar technologies are becoming ...

Industrial machine operators might want to take a closer look at a new service from Amazon Web Services Inc. that uses machine learning to help them schedule maintenance work on their equipment. The ...

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 ...

Demand for operational efficiency, consistent services and constant uptime has never been stronger in the fast-changing financial scene of today. From transaction processing to customer service, ...

Unplanned downtime in manufacturing is one of the largest causes of lost productivity, causing delays, unhappy customers and lost revenue. In fact, the problem costs industrial manufacturers an ...

A growing perception among engineers these days is that predictive maintenance is now an almost exclusive domain of artificial intelligence (AI) techniques and that they first need to learn machine ...

The software, called “Piton,” was created by ECU researchers.