Condition Monitoring of Drive Trains by Data Fusion of Acoustic Emission and Vibration Sensors

This dataset was published in connection with some Jupyter notebooks. The notebooks are freely available via Github (https://github.com/deepinsights-analytica/mdpi-arci2021-paper) and contain examples for reading, analyzing, classifying visualizing the data. contains measured raw data (data/ / .csv) as well metadata that describes vibration acoustic emission sensors (sensors/ .json) configuration of all measurements (measurements/ .json). A total 29 included. For each measurement file vb.csv data: a timestamp first column followed by 8192 sensor values. It is sampled sampling rate Hz. One line thus corresponds to time one second. ae.csv files also 8000 at 390625Hz. therefore 20.48 ms. w.csv speeds recorded measurement. These frames (begin end timestamp) five rotational speeds: 600rpm, 1000rpm, 1400rpm, 1800rpm, 2200rpm). While carried out continuously different speeds, phases an almost constant speed can be extracted help ranges based on files.