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 ...

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 ...

As manufacturers become increasingly aware of the skyrocketing cost of delayed maintenance, they wish to rapidly adopt new predictive maintenance programs. Monitoring technologies such as vibration ...

For several years now, case studies have been showing that predictive maintenance delivers the most bang for the buck for manufacturers of all sizes. This is hardly surprising given that adding a few ...

Polysense now launched the new designed vibration sensors cluster to meet the market requirements, which include uni-axial, tri-axial with 10-1,600Hz, 10-5,000Hz, 10-10,000Hz and Screw M5, M8, M12 or ...

Predictive maintenance, based on more and better sensor data from semiconductor manufacturing equipment, can reduce downtime in the fab and ultimately cut costs compared with regularly scheduled ...

AI agents for predictive maintenance in energy infrastructure help cut downtime and boost efficiency. Discover how to design ...

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

Predicting exactly how and when a process tool is going to fail is a complex task, but it’s getting a tad easier with the rollout of smart sensors, standard interfaces, and advanced data analytics.

In December 2008, the Southern California Edison Co. completed installing a state-of-the art wireless vibration monitoring system at its Mountainview Generating Station in Redlands, CA. Click here to ...

The publisher has been closely monitoring the various markets in Saudi Arabia. This report provides a comprehensive analysis, detailing market size, forecast, trends, growth drivers, and challenges.