IoT Suite predictive maintenance
This predicts IoT device failures before they happen and systematically prevent them for millions of devices which are out in the fields. Using the real-time telemetry collection of data, a predictive model is created using Azure machine learning.
Getting ready
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:
Predictive maintenance pre-configured solution architecture given by Azure
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.
How to do it...
In this section we will follow the following steps and will create the predictive maintenance...
