Abu Dhabi National Oil Co. (ADNOC) has completed the first phase of its large-scale multi-year predictive maintenance project to maximize asset efficiency and integrity across its upstream and ...
Systecon has received a contract modification from the U.S. Army to continue deploying an analytics tool that could enable the service to perform predictive maintenance and improve operational ...
Airlines scale predictive maintenance in 2025 as Emirates, Airbus and GE disclose new deployments and reductions in ...
Festo said the platform provides flexible deployment options that support on-premises and cloud-based environments.
NEW YORK, Nov. 27, 2024 /PRNewswire/ -- Report with the AI impact on market trends - The global predictive maintenance (PDM) market size is estimated to grow by USD 33.76 billion from 2024-2028, ...
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 ...
For several years now, case studies have been showing that predictive maintenance delivers the most bang for the buck for manufacturers of all sizes. This is hardly surprising given that adding a few ...
Today, surplus U.S. military planes are stored in the largest airplane boneyard in the world, operated by the 309th Aerospace Maintenance and Regeneration Group AMARG at Davis-Monthan Air Force Base ...
Demand for operational efficiency, consistent services and constant uptime has never been stronger in the fast-changing financial scene of today. From transaction processing to customer service, ...
Drones are already used to conduct a number of imaging-related roles in solar O&M, but this is set to increase over this decade. Image: Above. Operations and maintenance will face huge changes as ...
WASHINGTON--(BUSINESS WIRE)--Armaments Research Company, Inc. (ARC) announced today a contract award intended to further scale its conditions-based maintenance platform for U.S. Marine Corps (USMC) ...
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 ...
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