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 ...

With the coming age of Industry 4.0, it’s no longer prudent, strategic or economically smart to wait until a critical mining asset has broken down to fix the machine. Equipment breakdowns are often ...

Steering through the dynamic terrain of the manufacturing industry, Artificial Intelligence (AI) emerges as the ultimate catalyst, reshaping the narrative of predictive maintenance. This revolutionary ...

Predicting exactly how and when a process tool is going to fail is a complex task, but it’s getting a tad easier with the rollout of smart sensors, standard interfaces, and advanced data analytics.

Manufacturers are navigating a tempestuous landscape, wrestling with the intertwined challenges of pandemic-induced disruptions, potential tariffs and evolving policy shifts that strain global supply ...

Equipment malfunctions are costly and disruptive. When equipment goes down and work stops, the hourly cost to a business ranges from $36,000 in fast-moving consumer goods to $2.3 million in the ...