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 ...

According to a study by United Airlines, the cause of failure for 89 percent of complex mechanical equipment is completely random, without any relation to its life cycle. Below, Jonathan Wilkins, ...

Murata’s PKGM-200D-R vibration sensor detects high-frequency vibrations up to 11 kHz to assist predictive maintenance in production equipment. The device measures vibration acceleration along the ...

EVERETT, Wash.--(BUSINESS WIRE)--Fluke Reliability, a wholly owned subsidiary of Fortive Corporation [NYSE: FTV], which empowers reliability and maintenance teams with the hardware, software, and ...

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 ...

Real-time, sensor-driven intelligence is enabling predictive maintenance, helping keep operations running smoothly while ...

Maintenance is a critical behind-the-scenes activity that keeps manufacturing facilities running and data centers humming. But when not performed in a timely manner, it can result in damaged products ...

Before predictive maintenance was implemented at Perth County Ingredients, a Canadian producer of dried egg products, maintenance manager Tom Dufton and his team spent their days fighting a constant ...

The expansion of the software-as-a-service (SaaS) trend—where instead of buying and upgrading software on your own is replaced with a subscription to the software that’s kept up to date by the ...

NEW YORK, Nov. 27, 2024 /PRNewswire/ -- Report with the AI impact on market trends - The global predictive maintenance (PDM) market size is estimated to grow by USD 33.76 billion from 2024-2028, ...

Jonathan Wilkins, marketing director at EU Automation, a supplier of obsolete industrial parts, shares how to make equipment maintenance more predictable with effective condition monitoring. The key ...