Model Based Simulation and Analysis of Multiple Faults in Induction Motor

Three-phase induction motors (3-PIM) play a crucial role in industrial operations, driving more than 90% of prime movers. However, various operational stresses can lead to faults, impacting the motor's reliability, efficiency, and overall performance, particularly in Industry 4.0 environments. This research introduces a mathematical model created using MATLAB/SIMULINK to simulate 3-PIM behavior under both healthy and faulty conditions. This study provides a comprehensive analysis of different fault types, which have not been collectively examined before, assessing their effects on critical motor parameters such as torque, speed and current. The findings reveal fault-induced variations and anomalies, offering insights into motor behavior under various conditions. By accurately simulating various fault conditions, this method provides valuable insights into motor behavior, reduces the need for costly physical testing, and supports the development of efficient maintenance strategies. By tackling the challenges posed by multiple faults, this research helps reduce unexpected downtimes and ensures reliable operation. The study highlights the importance of advanced fault analysis in supporting Industry 4.0 goals, optimizing industrial processes, and boosting the efficiency of smart manufacturing systems.