Manufacturers are adopting AI-powered predictive maintenance to cut downtime, reduce costs, and extend asset life. Integrating IoT sensors, machine learning, and ERP systems enables them to anticipate ...

Manufacturers are rapidly adopting AI to improve efficiency, quality control, and predictive maintenance, achieving significant reductions in downtime and defects. Integrating AI with IoT sensors ...

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 ...

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

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

Artificial intelligence (AI) is no longer a future-facing concept in manufacturing. It is a present-day force accelerating productivity, precision, and decision-making across the industrial sector. As ...

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 ...

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 ...