Jupyter notebooks developed to study vibration signals on industrial assets.
This notebooks was developed while I was making a vibration predictive maintenance course. This files helped me to understand the theoretical classes and provide a real "feeling" of this field. It is being used the MAFAULDA database, from the UFRJ university.
Within the file py_functions.py you will find the functions that was used at the notebooks, which are:
- Clean data
- Organize data
- Digital signal processing
- FFT calculation
Below an example of the evolution of imbalance in an industrial asset. The .gif was created at make-gif-imbalance-data.ipynb.
Download the .zip files from MAFAULDA database and unzip inside the ./data folder.