Development of a vibration monitoring system for rotating machine models using fast fourier transform

Abstract

It is a necessity that in the industrial world, especially in manufacturers that operate rotating cylinder engines, mechanical damage often occurs. Vibrations are found almost everywhere on a rotating engine. The causes of vibrations in rotating machines are caused by several things including: imbalance, misalignment, and parts that are not perfect or defective in engine components.One solution in this research is the analytical approach which has shown that vibration monitoring has tremendous potential use in detecting and localizing defects in machines. Vibration speed and vibration load will be measured at different speeds and loads using FFT (Fast Fourier Transform). Based on the spectrum analysis of the vibration readings and the phase analysis carried out, it can determine the cause of the deviated vibrations. By observing the imbalance spectrum will identify the cause of vibration in the machine. Prototype This detection tool can show that if the rotating cylinder is in balance, the vibration will be reduced. The frequency spectrum can indicate a balanced and unbalanced condition at different velocity conditions. In this experimental research project, a vibration structure is built in a scale model to simulate vibrations and to monitor system performance in terms of the vibration level at the engine cylinder rotation. In this scale model, the output signal from the vibration sensor is processed in a microcontroller and then transferred to a computer.