Scientists have developed a machine-learning model – utilizing K-Means and long short-term memory techniques – that aims to overcome ‘fault detection and classification’ in the operation and ...

Seasoned manufacturing professionals know the assets that make their products – the assembly robots, CNC machines, and conveyor belts – are just as important as the final products themselves. These ...

Questar analyzed a large mixed-class fleet and discovered it was wasting as much as $30 in fuel per vehicle, per day, because of mechanically degraded aftertreatment systems.

Electrical services has evolved from reactive maintenance to advanced condition monitoring, utilizing real-time data and ...

Good and well-maintained road network is one of the pillars of economic growth, community security and overall welfare of the society. The further weakening of the pavements however, due to the ...

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 ...

The Niger Delta Power Holding Company has adopted artificial intelligence and machine learning technologies to predict equipment failures and improve the performance of its power plants as part of ...

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 ...

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 ...

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 ...