Damage detection in spur gears using vibration kurtosis analysis: An experimental data-driven mathematical model and machine learning approach
This study investigates the application of kurtosis analysis for condition monitoring and damage detection in gears, specifically focusing on pitting and tooth breakage caused by repeated operational cycles and manufacturing defects, and confirms its higher accuracy and applicability in gear fault detection.