ANALYSIS OF VIBRATION CHARACTERISTICS USING WAVE AND SPECTRA FORMS THROUGH FOURIER TRANSFORMS

The analysis of machine vibration is therefore essential for predictive maintenance and condition monitoring.Modern approaches, ranging from time-domain measurements of acceleration, velocity, and displacement to frequency-domain and modal analysis.This study investigates the vibration characteristics of rotating equipment in a manufacturing environment, focusing on identifying dominant frequencies, evaluating amplitude trends, and assessing overall machine condition.Data collected from accelerometers mounted on a centrifugal pump were processed using time-domain and frequency-domain techniques.The results highlight clear signatures of imbalance and bearing wear, demonstrating the value of predictive maintenance based on vibration monitoring.As the result the amplitude-frequency spectrum demonstrates that the machine is primarily influenced by rotational imbalance, with minimal evidence of high-frequency faults.