Vibrations Detection in Industrial Pumps Based on Spectral Analysis to Increase Their Efficiency

Open access

Abstract

Spectral analysis is the key tool for the study of vibration signals in rotating machinery. In this work, the vibration analysis applied for conditional preventive maintenance of such machines is proposed, as part of resolved problems related to vibration detection on the organs of these machines. The vibration signal of a centrifugal pump was treated to mount the benefits of the approach proposed. The obtained results present the signal estimation of a pump vibration using Fourier transform technique compared by the spectral analysis methods based on Prony approach.

[1] Cl. Buerhop, D. Schlegel, M. Niess, C. Vodermayer, R. Weißmann and C.J. Brabec. „Reliability of IRimaging of PV-plants under operating conditions”, in Solar Energy Materials and Solar Cells, vol. 107, December 2012, pp. 154-164.

[2] M.J. Chevalier, D.J. Smith and D.W. Dean. „The reliability of structural systems operating at high temperature: Replacing engineering judgement with operational experience”, in International Journal of Pressure Vessels and Piping, vol. 98, October 2012, pp. 65-75.

[3] C. Bunea, T.A. Mazzuchi, S. Sarkani and H. Chang. „Application of modern reliability database techniques to military system data”, in Reliability Engineering & System Safety, vol. 93(1), January 2008, pp. 14-27.

[4] S. Eisinger and U.K. Rakowsky. „Modeling of uncertainties in reliability centered maintenance - a probabilistic approach”, in Reliability Engineering & System Safety, vol. 71(2), February 2001, pp. 159-164.

[5] M. Gaceb, R. Bouzid and E. Bouali. „Reliability of an unstable conduit use for natural gas transportation”, in ESREL 2006 - Safety and Reliability for Managing Risk Conference, Estoril, Portugal, 2006.

[6] M. Hari Prasad, G. Rami Reddy, A. Srividya and A.K. Verma. „Applying mechanistic models to reliability evaluation of mechanical components - an illustra- tion”, in Annals of Nuclear Energy, vol. 38(7), July 2011, pp. 1447-1451.

[7] T.A. Hendrickson, J.S. Leonard and D.A. Weise. „Application of magnetic bearing technology for vibration free rotating machinery”, in Naval Engineers Journal, vol. 99(3), March 2009, pp. 107-111.

[8] J.L. Cook and J.E. Ramirez-Marquez. „Reliability analysis of cluster-based ad-hoc networks”, in Reliability Engineering & System Safety, vol. 93(10), October 2008, pp. 1512-1522.

[9] J.Vance, F. Zeidan and B. Murphy. „Bearings and their effect on rotordynamics”, in Machinery vibration and rotordynamics, vol. 1(1), May 2010, pp. 171-269.

[10] G. Levitin. Computational intelligence in reliability engineering: Evolutionary techniques in reliability analysis and optimization (Series: Studies in Computational Intelligence). vol. 39, Berlin: Springer-Verlag, 2007.

[11] Ming Chen H., Principles of bearing design. in Compressor Handbook, chapter 19, ed. Hanlon P.C., McGraw-Hill, 2001.

[12] M. Guemana, S. Aissani and A. Hafaifa. „Use a new calibration method for gas pipelines: An advanced method improves calibrating orifice flowmeters while reducing maintenance costs”, in Hydrocarbon Processing Journal, vol. 90(8), August 2011, pp. 63-70.

Journal Information

Metrics

All Time Past Year Past 30 Days
Abstract Views 0 0 0
Full Text Views 87 85 5
PDF Downloads 50 50 9