These standout case studies show how manufacturers have reduced downtime, cut costs, and improved reliability using ...
Less instrumentation. More insight. Physics-informed virtual sensors are shifting condition monitoring from isolated pilots ...
AI-assisted inspections and digital workflows are transforming construction equipment maintenance, improving pre-start checks ...
The aftermarket is starting to look at predictive maintenance from different angles with different data types. Fleet age will play a role—a 30-year-old aircraft will differ from newer airframes built ...
In this article, MaintainX shares a collection of useful stats and insights about preventive maintenance, predictive analytics, artificial intelligence, and other trends that impact maintenance teams.
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.
The Army has designed the T901 Improved Turbine Engine to be compliant with Prognostic and Predictive Maintenance (PPMx) technologies. PPMx, a predictive maintenance strategy based on relevant data, ...
In the era of Industry 4.0, manufacturing is no longer defined solely by mechanical precision; it’s now driven by data, connectivity, and intelligence. Yet downtime remains one of the most persistent ...
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