Paramount Business Jets reports that by 2030, many safety features in private aviation likely will shift from optional to ...

Abstract: In recent years, rapid development in the domain of Predictive Maintenance have resulted in improved equipment lifetime span, decrease maintenance costs and reduced the unplanned downtime.

China is projected to record a 7.8% CAGR through 2035, underpinned by the world’s largest high-speed rail network and ...

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

In the era of Industry 4.0, manufacturing is no longer defined solely by mechanical precision; it’s now driven by data, connectivity, and intelligence. Yet downtime remains one of the most persistent ...

Abstract: Predictive maintenance of nuclear power plants is the continuous (or regular) condition monitoring and fault diagnosis of important parts of nuclear safety equipment when they are in ...

The era of reactive “break‑and‑fix” maintenance in heavy industry is giving way to smart, data‑driven strategies. Across automotive assembly lines and steel plants, unscheduled stoppages are brutally ...

Food and beverage processors are shifting from a “run to fail” approach to predictive maintenance, using sensors and AI-driven data analysis to monitor motor health in real time and prevent costly ...

These days, summer in the city — any city, or pretty much anywhere — often means temperatures in the 90s with a heat index over 100. Not a time when you want an unexpected air conditioner failure. To ...

Artificial intelligence (AI)-enabled predictive maintenance is now becoming a key component in the pursuit of enhanced reliability and cost-effectiveness in the power industry, and as it continues to ...

This paper reviews fault identification and predictive maintenance techniques essential for the reliable operation of high-voltage power systems. The increasing integration of renewable energy sources ...