International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 183 - Number 38 |
Year of Publication: 2021 |
Authors: Amir Ahmed Qazi, Jawaid Daudpoto, Salman Ahmed Shaikh |
10.5120/ijca2021921778 |
Amir Ahmed Qazi, Jawaid Daudpoto, Salman Ahmed Shaikh . Comparison of Fault Detection Techniques for Induction Motors. International Journal of Computer Applications. 183, 38 ( Nov 2021), 13-19. DOI=10.5120/ijca2021921778
In the era of twenty-first century, induction motor plays a dominant role in industrial processes and essentially run out 40 to 50 % of total energy demand. Accordingly, their safety, durability, and efficiency are of major concern. Faults developing in induction motor necessitates significant consideration as they eradicate its operation and reduce the mean life. In this research, the most widely used MCSA that captures stator current signatures and acceleration-based vibration diagnosis techniques are practically investigated employing low-cost sensors. Moreover,the comparative analysis is performed to find an effective method for detection of faults, efficiently and persuade motor safety and reliable operation.