IN MOTION DIAGNOSIS: VIBRATION ANALYSIS FOR EFFECTIVE BEARING FAULT DETECTION IN INDUCTION MOTORS FOR CONDITION MONITORING

Abstract

Electric motors are essential machinery used in various industries. However, these motors can fail and breakdown due to various factors, such as oil usage, motor ventilation, layout, and electrical considerations, causing critical levels of temperature and vibrations. Condition-based maintenance (CBM) or predictive maintenance (PdM) is essential to monitor and maintain the motors and, therefore, prevent failures or breakdowns. Vibration analysis techniques can be used in CBM, and this paper focuses on the vibration analysis technique to detect faults in induction motors. The paper examines the sources of vibrations in induction motors and highlights typical faults that can be detected, including imbalance, misalignment, bearings, and electrical issues. The authors propose vibration monitoring as a preventive maintenance solution to improve the performance and reliability of induction motors. The paper concludes with a case study on bearing analysis, where the fault was caused by excessive stress on the bearing. The authors suggest appropriate measures to prevent bearing faults and, therefore, prevent motor breakdowns.