We provide a docker container to easily build and run an autoencoder model to discover faults in 3-phase electrical lines (comprising the current values and voltage values). The model utilizes a 6-column csv file with of phase 1 to phase 3 current and voltage values , respectively.. To build the Docker container we provide the following files:
- Dockerfile
- inference.py
- requirements.txt
The inference file takes a csv file and makes sequences of 100 cycles - padding the remainder with previous cycle values.
The scripts were implemented in tensorflow.
To run:
- docker build -t [DOCKER_TAG_NAME] .
- docker run [DOCKER_TAG_NAME]