Vibration analysis of gear tooth for fault diagnosis with simulation

Vibration-based health diagnosis in gearboxes aims to detect faults and degradation earlier, well before the prevalence of complete failure. Ultimately, deterioration leads to a gear train system failure, impacting the availability of the entire system. Early identification of faults permits a perfectly planned downtime to avoid major failure and to ensure reliable operation and significant expense savings. Gears are influenced to varying service conditions that are accidentally encountered to abnormal duty behaviour, would allow the diverse faults on teeth. These flaws trigger the severity rate using vibration at different loading conditions, and lower the efficiency of power transmission. The current work deals with introducing artificial fault modelling on the gear tooth through 0%, 25%, 50%, 100% broken tooth with applied loads ranging from 0Kg to 7.5 Kg with increase of 2.5 kg, on each case via condition monitoring viewpoint and concentrates through early identification of fault propagates in gear tooth with the different flaw sizes using vibration signal analysis. In this situation, both “vibration analysis” and “Ansys Vibration Analysis” have been introduced for the effective analysis of spur gears, which would result in validating information for fault monitoring. Validated the obtained experimental Vibration signal values with the ANSYS Explicit Dynamics.