Predictive maintenance is widely considered to be the obvious next step for any business with high-capital assets looking to harness machine learning to minimize equipment maintenance costs.

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 ...

Less instrumentation. More insight. Physics-informed virtual sensors are shifting condition monitoring from isolated pilots to scalable, physics-based intelligence across assets. Here’s how SciML can ...

Saipem has introduced an artificial intelligence (AI)-based predictive maintenance system onboard its ultra-deepwater ...

Predictive maintenance and digital twin technologies use real-time aircraft data and advanced analytics to help MROs increase ...

The waste collection industry generated $69 billion in revenue in 2024, accounting for over two-thirds of the total US waste and recycling revenue. Logistics is the cornerstone of this industry, given ...

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, ...

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 ...

The battlefield of 2030 will be characterized by increased complexity, uncertainty, lethality, and technological advancements, requiring seamless sustainment across all domains. The proliferation of ...