The landscape of professional work is undergoing a fundamental shift, as detailed in the 2024 Work Trend Index Annual ...

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 ...

Analyst Insight: Food and beverage manufacturers are operating in one of the toughest environments in modern industry. Between thin margins and unpredictable supply chains, every decision among F&B ...

Vertiv, a global provider of critical digital infrastructure, has introduced Vertiv Next Predict, an AI-based predictive maintenance service for modern data centers and AI computing facilities. The ...

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 ...

Expert insights reveal critical strategies for coordinating predictive maintenance with safety instrumented systems while maintaining compliance and preventing dangerous operational conflicts. In the ...

Plant Services case studies consistently rank among our most-read content because they show how maintenance and reliability strategies perform under real operating conditions. This Top Five list draws ...

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.

Digital transformation is accelerating, and water systems are very quickly becoming the next frontier across the plumbing and mechanical sector. For decades, plumbing infrastructure has operated ...

The benefit comes from combining cycle counts and process monitoring data from the historian database instead of relying on hours-based scheduling methods. Manufacturers should move beyond hours-based ...