TITLE
METHODS FOR PREPROCESSING DATA MEASURED WITH ACCELEROMETRIC SENSORS
AUTHOR(S)
Stefan Ivanov*, Dimitar Dimitrov
ABSTRACT
Current paper examines basic methods for preprocessing data collected by accelerometric sensors for vibration monitoring. A developed data acquisition system based on the ESP32 microcontroller is presented, allowing flexible integration of various accelerometric sensors. Basic methods for processing the measured signals are also described: signal resampling, removal of the constant component in the signals, digital filtration, data nor-malization, as well as methods for merging signals along the three axes. The demonstrations include graphical examples illustrating the effectiveness of each processing method. The results obtained show that the described approaches significantly improve the quality of the data and their suitability for the subsequent application of machine learning and neural networks. The study can serve as a basis for future developments in the field of intelligent monitoring and diagnostics of industrial machines.
DOI
DOWNLOAD
https://unitech.tugab.bg/images/2025/dokladi/5-Automation%20and%20Robotics/p50_s5_u28_id384.pdf
How to cite this article:
Stefan Ivanov*, Dimitar Dimitrov, METHODS FOR PREPROCESSING DATA MEASURED WITH ACCELEROMETRIC SENSORS, UNITECH – SELECTED PAPERS - 2025