Abstract
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 Grms(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.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Popescu, T.: Blind separation of vibration signals and source change detection –Application to machine monitoring. Applied Mathematical Modelling 34, 3408–3421 (2010)
Williams, J.: Condition-based maintenance and machine diagnostics, pp. 51–57. Chapman & Hall (1994)
Carden, E., Fanning, P.: Vibration Based Condition Monitoring: A Review. Structural Health Monitoring 3, 355–377 (2004)
Barron, T.: Engineering condition monitoring, pp. 5–113. Addison Wesley Longman Publishers (1996)
Eisenmann, R.: Machinery malfunction diagnosis and correction, pp. 3–23. Prentice Hall Publishers (1998)
Ahmadi, H., Mollazade, K.: Journal-bearing fault diagnosis of an external gear hydraulic pump using power spectral density. In: ECOTRIB 2009 - 2nd European Conference on Tribology, Pisa, Italy, June 7-10 (2009)
Mathew, J., Stecki, J.: Comparison of vibration and direct reading Ferro graphic techniques in application to high-speed gears operating under steady and varying load conditions. Soc. Tribol. Lubr. Eng. 43, 646–653 (1987)
Brigham, E.: Fast fourier transform and its applications. Prentice Hall Press (1988)
Gibson, R.: Power spectral density: a fast, simple method with low core storage requirement. M.I.T. Charles Stark Draper Laboratory Press (1972)
Norton, M., Karczub, D.: Fundamentals of noise and vibration analysis for engineers. Cambridge University Press (2003)
Irvine, T.: An introduction to spectral functions. Vibration Data Press (1998)
Mathew, J., Stecki, J.: Comparison of vibration and direct reading Ferro graphic techniques in application to high-speed gears operating under steady and varying load conditions. Soc. Tribol. Lubr. Eng. 43, 646–653 (1987)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Ahmadi, H., Khaksar, Z. (2011). Using Power Spectral Density for Fault Diagnosis of Belt Conveyor Electromotor. In: Pichappan, P., Ahmadi, H., Ariwa, E. (eds) Innovative Computing Technology. INCT 2011. Communications in Computer and Information Science, vol 241. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27337-7_2
Download citation
DOI: https://doi.org/10.1007/978-3-642-27337-7_2
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-27336-0
Online ISBN: 978-3-642-27337-7
eBook Packages: Computer ScienceComputer Science (R0)