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.

Before predictive maintenance was implemented at Perth County Ingredients, a Canadian producer of dried egg products, maintenance manager Tom Dufton and his team spent their days fighting a constant ...

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 ...

Expert insights reveal critical strategies for coordinating predictive maintenance with safety instrumented systems while maintaining compliance and preventing dangerous operational conflicts. In the ...

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 ...

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, ...

Intelligent predictive maintenance platforms exemplify this approach by integrating telemetry data and machine learning algorithms to predict the serviceable lifetime of critical components. “Imagine ...