Abstract

Area of application of rotating machinery in day to day life, and for industrial use in manufacturing and processes, nuclear power station, automobile, oil & gas refinery etc has increase tremendously with industries revolution. And for all these rotating machinery the faults induced, due to bearing faults play a major role in failure of machine subjected to fatigue and catastrophic failure is a big problem to solve. Under the various maintenance techniques, the condition monitoring vibration technique is widely used to accurate assessment of the health condition of the rotating machinery extensively. Vibration spectrum analysis for all these faults and particular to different vibration analysis technique can be studied. In this paper the bearing faults induced in rotating machinery is investigated experimentally using various vibration analysis techniques that are time, frequency and time-frequency domains. The input signal obtained from the rotating machinery with rolling element bearings that is ball bearing with inner and outer race defects in comparison with health bearings are analysed with respect to Fast Fourier FFT and Inverse fast Fourier transformation IFFT,and future the spectrogram are obtained. And this experimental investigation will lead to the accurate assessment of the failure of rotating machinery, with respect to bearing faults.

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