Stakeholders who use laser scanning can increase project efficiency and speed with lower initial costs.
Smart sensors and machine learning algorithms detect anomalies in industrial machines, and as algorithms become better trained, software can accurately predict when machines with industrial automation is at risk of failure. New business models for machine as a service (MaaS) may help overcome slow adoption of predictive maintenance technologies.
With more advanced predictive maintenance tools at their disposal, today’s maintenance and operations teams can improve efficiencies and minimize unplanned downtime.
CFE Media and the Society of Tribologists and Lubrication Engineers (STLE) partner to bring you the 2020 Lube Guide
The 2020 Plant Engineering Industrial Lubrication Guide informs manufacturers with an understanding of market options and innovations
Hyster-Yale is making free video training content available for a limited time for supply chains still adapting to the effects of COVID-19.
When beginning a hardware and software upgrade project, look to implement high-performance human-machine interface (H-P-HMI) graphics for greater control of manufacturing processes and systems.
Articles about Product of the Year winners, PPE mask production for COVID-19, acoustic imaging and maintenance technology were Plant Engineering’s five most clicked articles from May 11-17, 2020. Miss something? You can catch up here.
Size a feed water pump; consider heat-exchanger options; determine cooling system power and energy use
Consider reaching beyond ultrasonic leak detection to find pesky compressed air leaks