November 2018
Intermediate to advanced
556 pages
14h 42m
English
The second level of analytics is advanced analytics, which are used for prediction and prognosis. An example of these analytics is Digital Twin, which tries to replicate the physical model of an asset through a mathematical formula or a data-driven model. Digital Twin is a digital representation of an asset or system across its life cycle, which can be used for various purposes.
Advanced analytics require a more complex platform. They process a relatively large amount of data (such as 30 to 60 measures over the last 20 minutes to one month) and compare it with a digital model or the expected behavior. Advanced analytics require more information, such as model of the asset, its operability, the digital model (which is learned ...