August 2017
Intermediate to advanced
254 pages
6h 10m
English
In predictive maintenance, the common scenario is focused on an asset failure and how it can be avoided using this solution. The example in this case is an airline engine being monitored, and based on its data, its predictive maintenance schedule is planned:

The Azure machine learning predefined model is used in this solution. The regression model is a publicly available template from the large gallery of prebuilt Azure ML models.
The model gets deployed into the Azure solution when we create the predictive maintenance solution.