Improving Electromotor Process in Water Pump by Using Power Spectral Density, Time Signal and Fault Probability Distribution Function
Hojjat Ahmadi, Zeinab Khaksar
Electronic Devices, Vol. 1, No. 1, 2012.
DOI: 
Link: http://www.dline.info/ed/fulltext/v1n1/1.pdf
Abstract:
Condition monitoring based on the vibration signal analysis was often based on the Fast Fourier Transform (FFT). In order to overcome performance limitations of FFT such as disability of describing non-stationeries vibration signal that introduced by faults, Power spectral density (PSD) technique is very effective. Exponential distribution function was used for calculating an electromotor fault probability .The objective of this paper was to investigate the correlation between vibration analyses, fault diagnosis, Fault Probability Distribution Function (FPDF), Time signal and PSD of an electromotor of process water pump. We were calculated Grms (Root-Mean-Square Acceleration) and PSD of DE of an electromotor before and after repair. Also before repair probability of fault was calculated. The results of this paper have given more understanding on the dependent roles of vibration analysis and PSD in predicting and diagnosing machine faults and by using FPDF we can determine the amount of fault probability before repair.