This study proposes strategies to enhance the availability and efficiency of induction motors in industrial settings through the implementation of a mathematical approach to control shaft misalignment. To achieve this, data on motor failures, obtained from refurbishing and repair workshops, is utilized. An in-depth analysis of the induction motor is conducted to explore waveform characteristics by subjecting the motor to shaft misalignment, employing a steel shims kit for this purpose. Vibration signals during machine operation under various misalignment severities are then measured. The obtained signals undergo Fast Fourier Transform using National Instruments packages and Matlab software. The research focuses on an induction motor, presenting and analyzing the experimental results. The paper underscores the detrimental impact of shaft misalignment on induction motor efficiency. The overarching goals of this practical research include diagnosing machine vibration through vibration signals, enhancing motor availability, minimizing downtime caused by misalignment issues, reducing power consumption, and curbing maintenance costs. By achieving these objectives, the study aims to deliver significant advantages to the company while concurrently promoting environmental sustainability.