Machines break down, often at the least convenient time. But today's forward-looking leaders, helped by torrents of data from IoT, are using predictive maintenance to get ahead of equipment breakdowns ...

Predictive maintenance provides operators with a reliable estimate of when maintenance will be needed on an industrial asset. The 5 steps of predictive maintenance start with data acquisition. Then, ...

Predictive maintenance tools are gaining interest in data centers, but skills gaps, data quality and ROI concerns still slow ...

Predictive maintenance, or PdM, is a rising star for process plants. It’s a new approach to maintenance planning that uses industrial Internet of Things (IIoT), big data, and machine learning to track ...

Predictive maintenance needs to be more than mere prediction to be effective—it needs to link to specific MRO actions. Credit: Lufthansa Technik Big data, the Internet of Things, digital twinning and ...

Predictive modeling helps companies optimize their internal operations, improve customer satisfaction, manage budgets, identify new markets and anticipate the impact of external events, among other ...

Successful AI adoption requires a strategic blend of discriminative and generative models, with a focus on enterprise-wide ...

When it comes to big data and Internet of Things (IoT) initiatives most companies are still in the design or early adoption phases which make it hard to get a solid return on investment (ROI) figures.

Predictive maintenance is preferred over preventive maintenance for critical assets, but the correct application of advanced analytics is required to realize full value. Power plants of all types have ...

The IIoT is disrupting established maintenance practices with new capabilities. For today’s industrial machine builders and automation vendors, connectivity is no longer optional. Whether you purchase ...

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 ...