Learn how to use Predictive Maintenance in your industrial environment, and see the benefits of putting I-DNA Technology Algorithms into your Predictive Maintenance Program.
Do you know the difference between AI, machine learning, predictive analytics, data analytics, IIoT, and predictive maintenance? Jason Tranter goes into the definitions with examples…
In the ideal world of Industry 4.0, organizations will have better equipment with wireless connections and sensors linked to a system that can visualize and control the entire production line and make autonomous decisions. Industry 4.0, in other words, describes the ever-increasing trend towards automation and data exchange.
When making a business case for predictive maintenance, you must first ask what management want. You should then ask what the employees want. Jason Tranter explains…
The transition to predictive maintenance becomes difficult if you are not able to generate and collect the right data. You need to be able to not only collect data, but to also analyze and visualize the data in a dashboard, so you can act on it right away.
Industrial Internet of Things (IIoT) finds many application fields today in the industry by connecting assets to each other, gathering data and transferring it to other internet-enabled systems..
When I talk to clients, the first thing I do is find out where they are now – are they mostly reactive, do they plan most of their maintenance, do they do some PdM, etc.? On this continuum, I outline…
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