Shiva Bhardwaj, like many forward-thinking leaders, believes the future success of the transportation industry lies in predictive maintenance. And for good reason. A maintenance operation that ...

It was Kenneth Calhoun who first educated me on the powerful potential predictive maintenance could have for fleet maintenance operations and vehicle uptime. This was a decade ago. Calhoun and I sat ...

Predictive maintenance (PdM) is transforming power plant operations by leveraging artificial intelligence (AI), data analytics, and automation to prevent costly equipment failures. Learn about ...

Manufacturers are navigating a tempestuous landscape, wrestling with the intertwined challenges of pandemic-induced disruptions, potential tariffs and evolving policy shifts that strain global supply ...

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

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 ...

Historically, maintenance strategies for critical systems relied heavily on fixed schedules, known as preventive maintenance. And while this is useful, it follows an arbitrary timetable that either ...

Uptake, a predictive analytics software-as-a-service (SaaS) provider, is teaming with Daimler Truck North America (DTNA) to enable the use of data-as-a-service (DaaS) technology to power Uptake Fleet, ...

Data analysis is helping operators in the solar power sector develop more efficient systems that optimize operations and deliver cost savings. Utilities and other developers of solar power ...

Renewable energy is an essential part of striving for sustainable operations across industries. Predictive maintenance is one tool that helps build a reliable renewable energy infrastructure. With the ...

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 ...