Experimenting with predictive maintenance models.
Source data: https://ti.arc.nasa.gov/tech/dash/pcoe/prognostic-data-repository/#turbofan
To generate necessary train/test data, execute the following command:
make data
We will have train.csv
, test.csv
and RUL.csv
in data/processed/
folder.
The test.csv
and train.csv
files are in the following format:
Column | Description |
---|---|
dataset_id | id of the dataset where this instance is found |
unit_id | id of engine (unique in each dataset) |
cycle | number of operational cycles since beginning of engine operation |
setting 1 | value of operational setting 1 |
setting 2 | value of operational setting 2 |
setting 3 | value of operational setting 3 |
sensor 1 | value of sensor 1 |
... | ... |
sensor 21 | value of sensor 21 |
The RUL.csv
file is in the following format:
Column | Description |
---|---|
dataset_id | id of the original dataset of this instance |
unit_id | id of engine (unique in each dataset) |
rul | the remaining useful life of this unit, after its maximum cycle in the test dataset |