Inconsistent maintenance tracking can inflate TCO, making it harder for fleets to plan budgets and replacement cycles effectively.
Abstract: Accurate prediction of the remaining useful life (RUL) of hydraulic turbines is crucial for optimizing maintenance, reducing downtime, and enhancing operational efficiency. This study ...
January’s top Plant Services content explores how manufacturers are strengthening culture, modernizing assets, and using data to improve safety and reliability. January’s most-read feature stories on ...
Charles River Analytics is developing advanced predictive maintenance and logistics technologies for the United States Navy’s ship systems. The technology helps ensure reliability across the entire ...
While automation promises a future where robots can do work around the clock, seven days a week, without tiring, downtime caused by unexpected issues still holds us back from that future. Festo this ...
Digital tools and wearables support technicians by providing real-time risk management and boosting productivity in hazardous environments. Innovations in lockout/tagout procedures digitize safety ...
Less instrumentation. More insight. Physics-informed virtual sensors are shifting condition monitoring from isolated pilots to scalable, physics-based intelligence across assets. Here’s how SciML can ...
Expert insights reveal critical strategies for coordinating predictive maintenance with safety instrumented systems while maintaining compliance and preventing dangerous operational conflicts. In the ...
Michelin and Sonatus will showcase predictive tire health technology at CES 2026. The demonstration will highlight Michelin’s SmartLoad and SmartWear models deployed through Sonatus AI Director to ...
Predictive maintenance is transforming rail operations by using data to reduce downtime, extend component life, and lower lifecycle costs. Rail operations have historically relied on scheduled ...
In this article, MaintainX shares a collection of useful stats and insights about preventive maintenance, predictive analytics, artificial intelligence, and other trends that impact maintenance teams.