sridharkumarkannam / iot-predictive-maintenance-1

Predictive Maintenance

Experimenting with predictive maintenance models.

Source data: https://ti.arc.nasa.gov/tech/dash/pcoe/prognostic-data-repository/#turbofan

Getting Started

Data

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