- This is a Machine Learning Program to classify Screw-Compressor Faults using Short Time Fourier Transform Spectrograms
- Vibration signals are converted to spectrograms.
- A Deep Learning Model is trained to predict fault states using spectrograms.
There are total of 5 states for the model to predict.
- Normal Condition
- Unbalance Condition
- Belt Looseness Condition
- Belt Looseness High Condition
- Bearing Fault Condition
- Dataset : PHM 2021 Asia Pacific Data Challenge