Machines tend to break down on their own schedule, but there usually are warning signs before a catastrophic failure. Improved sensors and software have pointed to a new way to measure, manage and ...

In the second in a series, MathWorks industry manager Philipp Wallner and product manager Eric Wetjen explore the steps needed to leverage the power of artificial intelligence (AI) in effectively ...

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 ...

Moving from reactive to predictive maintenance requires the right tools for use by subject matter experts. As the power industry continues to advance from preventative to predictive maintenance, one ...

The process of continually tracking equipment and asset health gives operations a foundation for establishing predictive maintenance strategies by enabling early detection of potential issues before ...

This isn’t your father’s predictive maintenance. When predictive maintenance was first introduced, it was famously the low-hanging fruit of advanced manufacturing. Predictive maintenance was typically ...

Artificial intelligence (AI)-enabled predictive maintenance is now becoming a key component in the pursuit of enhanced reliability and cost-effectiveness in the power industry, and as it continues to ...

Shiva Bhardwaj, like many forward-thinking leaders, believes the future success of the transportation industry lies in predictive maintenance. And for good reason. A maintenance operation that ...