Scientists from Malaysia and Thailand have developed a novel machine-learning model for predicting the maintenance needs of large-scale solar PV plants. According to a recently published scientific ...

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 ...

Predicting exactly how and when a process tool is going to fail is a complex task, but it’s getting a tad easier with the rollout of smart sensors, standard interfaces, and advanced data analytics.

Manufacturers are navigating a tempestuous landscape, wrestling with the intertwined challenges of pandemic-induced disruptions, potential tariffs and evolving policy shifts that strain global supply ...

Steering through the dynamic terrain of the manufacturing industry, Artificial Intelligence (AI) emerges as the ultimate catalyst, reshaping the narrative of predictive maintenance. This revolutionary ...

Equipment malfunctions are costly and disruptive. When equipment goes down and work stops, the hourly cost to a business ranges from $36,000 in fast-moving consumer goods to $2.3 million in the ...

Traditional vibration analysis falls short for slow-speed machinery. Augury’s AI-powered platform uses high-frequency ultrasound to deliver real-time diagnostics and predictive insights for low-RPM ...