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, ...

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

Machines break down, often at the least convenient time. But today's forward-looking leaders, helped by torrents of data from IoT, are using predictive maintenance to get ahead of equipment breakdowns ...

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 ...

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 ...

Komatsu is supporting mine operations to become future-proof with data-driven maintenance systems that provide greater asset ...

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 ...

ENGEL supports its customers in the maintenance of injection molding machines and linear robots with six configurable maintenance packages. Processing firms benefit from the ENGEL service engineers' ...