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.

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 ...

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

FANUC introduced a new Industrial Internet of Things software designed to prevent production problems before they happen. AI Servo Monitor uses artificial intelligence to predict possible failures of ...

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 ...

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.

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 ...

Shell is extending its C3 AI predictive maintenance programme, which monitors more than 13,000 pieces of equipment globally.

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, ...

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 ...