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 ...
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, ...
THIEF RIVER FALLS, Minn., Oct. 8, 2026 /PRNewswire/ -- DigiKey, the global distribution leader of electronic components and ...
The continuous advancement in research and development has evolved new intelligent solutions for decision making, especially with the growing capabilities of data collection mechanisms. This ...
Predictive maintenance is a valuable tool for any company that uses industrial equipment. However, skepticism still exists over whether it really delivers measurable benefits. To clear up that ...
In the age of IoT, more assets are being connected to digital platforms to maximize their performance and life span. One crucial way this is helping businesses save money is through enabling the ...
Equipment maintenance is essential for avoiding unplanned downtime and preserving quality standards in multiple industries such as power generation, oil & gas and manufacturing. In the past and in ...
The global predictive maintenance market is projected to grow from USD 9.71 billion in 2026 to USD 16.74 billion by 2031, at an 11.5% CAGR. Growth is driven by industrial IoT, AI, machine learning, ...
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 ...
Predictive maintenance is the analysis of the condition and performance of critical machines in a plant to reduce instances of machine failure. In the past, highly experienced plant operators may have ...
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 ...