Predictive Maintenance Modelling Guide Data Sets

March 29, 2016

3322 views
1414 downloads


Report Abuse
This is the experiment that has the data sets used in the collection "Predictive Maintenance Modelling Guide". Created by a Microsoft Employee.
This experiment contains the Import Data modules that read the data sets simulated for the collection [Predictive Maintenance Modelling Guide][1] . Feature engineering and labelling is done in the R Notebook of the collection. Before going through the R notebook, you need to **save the datasets** in this experiment to your workspace. Open the experiment in Studio and run the experiment. Once the experiment has successfully run, **right click** the output ports of **Convert to csv** modules, and use **Save as Dataset** option to save the datasets to your workspace. Use the **exact names** provided in the Import Data module descriptions which are **telemetry**, **errors**, **maint**, **machines** and **failures** to name these datasets as you save them. The R notebook of the collection uses these names to process these datasets saved to your workspace and will not work if the correct names are not given. [1]: https://gallery.cortanaintelligence.com/Collection/Predictive-Maintenance-Implementation-Guide-1