1,2,3Department of Electrical Engineering, RCERT, Chandrapur. Email: prashantasutkar@gmail.com; pradeeppadewar@gmail.com; sumit.r.punam@gmail.com
4National Power Training Institute, Nagpur. Email: ppmawle1@gmail.com
5Department of Mechanical Engineering, RCERT, Chandrapur. Email: maheshburadkar@rcert.ac.in
Received: 12th Dec, 2025; Revised: 12th Feb 2026; Accepted: 13th Feb, 2026; Available Online: 10th March, 2026
The detection and analysis of faults in the ball bearings of induction motors are crucial for ensuring the reliable operation of motors. This paper deals with the use of Motor Current Signature Analysis (MCSA) together with Harmonics Fast Fourier Transform (FFT) to identify bearing defects. During operation, the bearings of induction motors are subjected to dynamic forces, which account for their deterioration is one of the leading causes of motor breakdowns in industrial systems. This study used a three-phase, 440V, four-pole, 1500 RPM induction motor for experimental testing.; three different bearing fault conditions of dry bearing, insufficient lubrication, and ball-damaged bearing were introduced in the setup. The performance analysis of the motor is carried out under no-load and rated-load conditions, and comparisons are drawn between the healthy and faulty states. From the results, it can be observed that due to the development of bearing faults, certain important parameters like torque, mechanical power, electrical power, power factor, three-phase voltage and current are increased; whereas the motor speed and efficiency decreased. Further, harmonic analysis indicates an increased harmonic content, with significant harmonics up to the 21st order. Hence, from the obtained results, it is concluded that MCSA and harmonic analysis are powerful tools that can be employed for early diagnosis and detection of induction motor bearing failures.
Keywords: Motor Current Signature Analysis (MCSA), Bearing Faults, Harmonics FFT, Induction Motor, Fault Detection, Vibration Analysis.
How to cite this article: Asutkar PG, Padewar PS, Punam SR, Mawale PP, Buradkar M. Enhancing Bearing Fault Diagnosis in Three-Phase Induction Motors Using Motor Current Signature Analysis. Int J Drug Deliv Technol. 2026;16(16s): 12-20. DOI: 10.25258/ijddt.16.16s.3
Source of support: Nil.
Conflict of interest: None