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 ...

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, ...

The aftermarket is starting to look at predictive maintenance from different angles with different data types. Fleet age will play a role—a 30-year-old aircraft will differ from newer airframes built ...

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 ...

CMMS tools can enable maintenance transformation, but only disciplined data practices unlock predictive and proactive ...

Most facilities already have the monitoring tools needed for predictive maintenance; the key is actively reviewing and interpreting the data. Electrical failures often develop gradually through trends ...

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 ...

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 ...

Preventive maintenance will always be the backbone of a reliable refuse fleet. Predictive readiness gives that backbone ...

Artificial intelligence (AI)-enabled predictive maintenance is now becoming a key component in the pursuit of enhanced reliability and cost-effectiveness in the power industry, and as it continues to ...

Digital Twins technology brings the exact replica in digital format of a process, a product, or a service. With the advent of IoT & Digital Twins, businesses are moving towards building a Predictive ...