Volume : I, Issue : II, July - 2012

Fault Diagnoses of Rotating Machinery with Advance Signal Processing Methods

Prof. Divyang H. Pandya, Prof. Ankit A. Darji

Abstract :

Diagnosis of rolling beå based on viation signature analysis in Time-frequency domain. Commonlyused signal analysis techniques, based on spectral approaches such as the fast Fourier transform, are powerful in diagnosing a variety of viation-related problems in rotating machinery. Although these techniques provide powerful diagnostic tools in stationary conditions, they fail to do so in several practical cases involving non-stationary data. Recent development in signal processing approaches make available new methods in time-frequency representation, which ing up major information concerning the time occurrence of the fault. This paper provides a comparative study between traditional signal processing methods, such as perodograms, with more sophisticated approaches like Welch Periodogram, the spectrogram and the scalogram. Performances of these techniques are assessed through experiments and compared for single point defects on inner race, outer race and ball fault, including balanced condition of rotor beå system.

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Article: Download PDF   DOI : 10.36106/ijsr  

Cite This Article:

Prof. Divyang H. Pandya, Prof. Ankit A. Darji Fault Diagnoses of Rotating Machinery with Advance Signal Processing Methods International Journal of Scientific Research, Vol.I, Issue.II July 2012

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