An innovative software program, coupled with an experienced team of engineers, allows plant operators to evaluate creep and fatigue stress in components exposed to more frequent cycling, thereby ...

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

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 ...

AI agents for predictive maintenance in energy infrastructure help cut downtime and boost efficiency. Discover how to design ...

In AIoT-based systems, sensors continuously collect high-frequency data such as vibration, temperature, pressure, and electrical signals. These data streams are processed by machine learning and deep ...

Digital condition monitoring is transforming hydropower O&M with AI-driven diagnostics, hybrid architectures, and predictive ...

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 ...

Intelligent predictive maintenance platforms exemplify this approach by integrating telemetry data and machine learning algorithms to predict the serviceable lifetime of critical components. “Imagine ...

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 ...

This article covers some of the leading asset management strategies that help drive efficiencies across plant operations and ...

Optimizing the performance and availability of existing legacy aircraft as well as newer, technologically advanced assets is an increasingly complex and costly challenge. In this white paper, you will ...

Predictive maintenance, based on more and better sensor data from semiconductor manufacturing equipment, can reduce downtime in the fab and ultimately cut costs compared with regularly scheduled ...