Predictive maintenance and artificial intelligence are rapidly reshaping how American businesses keep equipment running, but ...

MaintainX reports a rise in predictive maintenance adoption and AI usage, though challenges like aging equipment and cost ...

In AIoT-based systems, sensors continuously collect high-frequency data such as vibration, temperature, pressure, and electrical signals. These data streams are processed by machine learning and deep ...

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 ...

Machines tend to break down on their own schedule, but there usually are warning signs before a catastrophic failure. Improved sensors and software have pointed to a new way to measure, manage 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 ...

Scientists from Malaysia and Thailand have developed a novel machine-learning model for predicting the maintenance needs of large-scale solar PV plants. According to a recently published scientific ...

FANUC’s AI Servo Monitor provides machine health data and analysis to maximize uptime. HOFFMAN ESTATES, Ill.--(BUSINESS WIRE)--Downtime is the enemy of profitability in manufacturing, which is why ...