Application of Acoustic Digital Twin Model for Fault Monitoring of Heavy Duty Gearbox

Abstract

Heavy duty gearbox’s operating characteristic frequency is low. At present, various methods used to monitor the operation condition and analyze faults have their own traits and shortcomings. To realize the heavy duty gearbox’s operation condition monitoring and fault analysis, acoustic digital twin technology was proposed. Using noncontact far field acoustic signals, the operation condition can be monitored and faults can be analyzed. This new technology was characterized by locating and analyzing faults accurately. To improve the accuracy of the digital twin model, the contact stiffness model of the joint surface was further deduced. Finally, the frequency responses of sound pressure under different faults were compared and analyzed. It was shown that the proposed acoustic digital twin technology can be used to monitor the heavy-duty gearbox’s operation condition and analyze faults. Also, the results showed that this technology was feasible and accurate.