Vibration is produced by imbalance, positioning, mechanical softness, shaft cracking, and various defects in spinning machinery. In recent years, rotor defect diagnostics have become more important. This study looks at the effects of various input parameters, such as shaft operating speed, crack depths, and l/d ratio (ratio of the distance of crack from one end to the diameter of the shaft). A steel shaft with a disc positioned in the center and supported by two bearings was utilized to investigate the vibration characteristics of a shaft. An artificial fracture was introduced in order to notice the rotor's vibration characteristics when a defect is present. On a rotor with a diameter of 25mm, the signature knowledge was first obtained with fracture depths ranging from 1mm to 3mm. The amplitude and frequency of vibration in the rotor bearing system were used to analyse the results of the three input parameters. FFT analyzer was used to measure the amplitude and frequency (Fast Fourier remodel analyzer). The signals are processed using a high-speed fast Fourier remodel analyzer. To evaluate important input parameters affecting system vibrations, Taguchi and Analysis of Variance (ANOVA) methods were applied. The ANOVA was distributed with a 95% confidence level. The technique parameters with a p-value of less than 0.05 were mentioned as being critical to the response. Taguchi Analysis was used to determine the effect of the input parameters on the amplitude and frequency of vibration in the axial and vertical directions.