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Published in:
2011 | OriginalPaper | Chapter
Using Power Spectral Density for Fault Diagnosis of Belt Conveyor Electromotor
Authors : Hojjat Ahmadi, Zeinab Khaksar
Published in: Innovative Computing Technology
Publisher: Springer Berlin Heidelberg
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This paper focuses on vibration-based condition monitoring and fault diagnosis of a belt conveyor electromotor by using Power spectral density (PSD). The objective of this research was to investigate the correlation between vibration analysis, PSD and fault diagnosis. Vibration data had regularly collected. We calculated G
rms
(Root-Mean-Square Acceleration)and PSD of Driven End (DE) and None Driven End (NDE) of an electromotor in healthy and unhealthy situations. The results showed that different situations showed different PSD vs. frequency. The results showed that with calculating PSD we could find some fault and diagnosis of belt conveyor electromotor as soon as possible. Vibration analysis and Power Spectral Density could provide quick and reliable information on the condition of the belt conveyor electromotor on different situations. Integration of vibration condition monitoring technique with Power Spectral Density analyze could indicate more understanding about diagnosis of the electromotor.