Comparison of Vibration and Current Signals for the Detection of the Severity of Faults in Gears

This research aims to compare the vibration and current signals of an induction motor for the detection of the severity of gear faults. To perform the study, they simulated pitting and tooth breakage failures in straight gears with a total of nine levels of severity for each failure. As a result of the application of the FFT to the acquired signals, the existence of sidebands was identified through the frequency of the motor power line such as; rotation frequencies of the input shaft, output axis and gear frequencies, where the vibration was able to detect incipient failures and through the current signal severe failures. he research aims at the acquisition of electrical current signals from the induction motor coupled to a gearbox using the MCSA technique, this with the purpose of contribution in the study of gears faults detection by electrical current signals. The simulated faults were pitting and tooth breakage in spur gears with a total of nine severity levels for each fault. As a result, the existence was identified of sidebands through the power line frequency of motor such as; rotation frequencies of the input shaft, output shaft and gear frequencies.