Abstract
The induction motor is a critical component extensively employed in industrial applications. It is susceptible to various fault conditions during operation. These faults, which can arise due to multiple external factors, include overloading, single-phasing, unbalanced supply voltage, locked rotor, phase reversal, ground fault, under voltage, and overvoltage. To prevent damage and ensure worker safety, it is essential to promptly shut down the machine upon detecting a fault. Numerous types of faults can occur in induction motors, and identifying them often necessitates the utilization of vibration analysis techniques. These techniques require advanced signal processing methods to achieve rapid and dependable fault detection. Leveraging LabVIEW, a versatile and powerful software system for measurement and automation, can facilitate the creation of graphical interfaces for vibration detection.
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