Early Detection of Induction Machines Fault Using Vibration-Based Analysis under COMSOL Multiphysics within a Preventive Maintenance Framework

In this paper, a predictive maintenance strategy is developed to enhance the fault identification of induction machines using the analysis of residual mechanical vibrations. Induction machines are the most widely adopted machines in many industrial environments, owing to their high robustness, simplicity and economic efficiency. Nevertheless, these machines are susceptible to both electrical and mechanical failures, including stator phase deficiencies, which may result in significant downtime and expensive maintenance charges. The approach developed is designed by combining FFT (Fast Fourier Transform) and vibration signal analysis to detect faults at an early stage. The methodology has been validated by simulations performed with COMSOL Multiphysics. The results reveal a significant improvement over traditional maintenance methods based solely on vibration analysis in the early detection of failures, resulting in reduced downtime and lower maintenance costs.