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 ...

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 ...

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 ...

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 ...

Before predictive maintenance was implemented at Perth County Ingredients, a Canadian producer of dried egg products, maintenance manager Tom Dufton and his team spent their days fighting a constant ...

Data analysis is helping operators in the solar power sector develop more efficient systems that optimize operations and deliver cost savings. Utilities and other developers of solar power ...

Predictive maintenance (PdM) is a proactive, data-driven maintenance approach to monitoring real-time equipment operating conditions, to predict possible equipment failure and establish efficient ...

The modern built environment relies heavily on vertical transportation systems, which have become indispensable to the functionality and livability of today's cities. From sleek skyscrapers that ...

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, ...