Investigation the fault in a Rotating Machineby Utilizing Vibration Technique

Abstract

The maintenance of a machine before the faults will become increased the life of machinery component and also increased the operational reliability, reduced machinery down time, cost saving, second failure etc.In this study analysis the fault in a machine at early stage to enhance the life of machine .The experimental setup is design to generate real time data of three different bearings whose rotational speed is decreased gradually (i) perfectly healthy bearing (ii) inner fault bearing (iii) outer fault bearing respectively. The readings of the datasets in the time-domain frequency for a duration of 10 seconds.. Further analysis the behavior of the datasets by using statistical & mathematical techniques such as Kurtosis, Spectrum Kurtosis and Kurtogram are used for high amplitude of the waveform and mathematical technique Fourier Transformation apply to convert the time signal data into frequency domain and then analysis the harmonics of the frequency at BPFI (Ball Pass Frequency Inner)and BPFO (Ball Pass Frequency Inner)conditions to detect the inner race fault and outer race fault in the bearing.