Vibration Analysis of Frequency Domain Data using MATLAB for Application of Rotating Part Machines in Industry

Increasing the number of Condition-Based Profitability and safety are given emphasis in monitoring activity. Maintenance is the prevention of anticipated problems by monitoring the machine in time for it to run, which involves process control, keeping the machine operating, logistics, and improvement. This paper focuses on a unique feature of predictive maintenance utilizing the MATLAB tool's State space model, and accuracy is more than 85%. The frequency data is primarily collected from rotating machines using vibrometers, and the obtained spectrums are analyzed using MATLAB for validation, which clearly defines the severity level of vibration in a component and estimates the machine's life by creating a state space model and analyzing it using the asset tool.