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

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 ...

Moving from reactive to predictive maintenance requires the right tools for use by subject matter experts. As the power industry continues to advance from preventative to predictive maintenance, one ...

Predictive maintenance is emerging as a necessity for aerospace and defense (A&D) systems. By leveraging advanced analytics to monitor equipment health and anticipate failures, operators can ...

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 ...

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, ...

Predictive analytics: the ability to use well documented historical and accurate data to improve future logistics or fleet maintenance operations. Data — especially quality data — is the key to ...

Fleet maintenance managers are facing all kinds of roadblocks right now. Labor shortages, supply chain problems, parts inventory price increases and unavailability of used vehicles are all wreaking ...

TMW Systems has introduced a predictive maintenance application, TMT Predict.Fault Code, which enables fleets to anticipate and address potential vehicle breakdowns and other unscheduled service needs ...

A new year and decade provide an occasion for predictions regarding the state of analytics in the process industries. After three decades of data generated by digitizing control systems, stored in ...

LONDON--(BUSINESS WIRE)--Predictive maintenance is undoubtedly one of the most talked-about topics in maintenance and asset management. To gauge where manufacturing companies currently stand with ...

Inaccurate or overlooked alerts on manufacturing data can be reduced with proper data handling when developing and deploying predictive models. Data analytics, and specifically predictive analytics, ...