Automotive predictive maintenance, driven by AI, machine learning, and advanced sensors, is transforming vehicle care from reactive repairs to proactive prevention. Industry analyses project up to a ...

Automotive predictive maintenance is rapidly evolving as AI, IoT sensors, and connected vehicle platforms enable real-time diagnostics and proactive repairs. Industry research shows that machine ...

What is predictive maintenance (PdM)? It’s the application of instrumentation and intelligence to help determine the condition of equipment and whether maintenance should be performed to avoid ...

Duncan Bain explains why predictive maintenance remains central to the AI agenda for the manufacturing sector.

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 ...

Eaton motor analytics helps predict motor and pump issues up to 30% earlier and 25% more accurately than currently available ...

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 ...

These days, summer in the city — any city, or pretty much anywhere — often means temperatures in the 90s with a heat index over 100. Not a time when you want an unexpected air conditioner failure. To ...

Manufacturers in the food and beverage industry who successfully adopt AI will see the biggest benefits from the careful combination of computer vision for improved quality control and machine ...