DOI:

https://doi.org/10.14483/22484728.9881

Publicado:

2014-12-28

Número:

Vol. 8 Núm. 2 (2014)

Sección:

Visión de Caso

Diagnosis of bearing with mechanical vibrations and virtual instruments

Autores/as

  • Vıctor Manuel Gomez Ramırez
  • Juan Carlos Serna Bedoya
  • Luisa Velez Lopez

Palabras clave:

Mechanical vibration analysis, Power spectral density, Virtual instrument, Bearings (es).

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Resumen (es)

The mechanical vibration analysis has great importance in the condition based maintenance; in this sense, the bearings are elements that affect more stops rotating machinery. Therefore, this paper describes the hardware and software architecture of a vibration analyzer developed in LabVIEW oriented to study bearings extracting its parameters or descriptors through the power spectral density (PSD) and the RMS and DC signal values in time. Shows the advantages of working with such solutions: cost and the possibility of increasing benefits as needed.

Referencias

Moreno S´anchez R., Pintado Sanju´an P., Alonso S´anchez F.J., Chicharro Higuera J.M., Morales, Robredo A.L., Nieto Quijorna A.J.”Evaluaci´on y comparaci´on de modelos de diagn´ostico de fallos en engranajes utilizando las se˜nales de vibraciones mec´anicas”, 8o congreso iberoamericano de ingenier´ıa mec´anica, Cusco, 23 al 25 de Octubre de 2007.

Cornelius Scheffer, Paresh Girdhard, “Practical Machinery

Vibration Analysis and Predictive Maintenance”, Oxford: Jordan Hill, 2004

C.Castej´on,O, Lara,J.C.Garc´ıa-Prada, “Automated diagnosis of rolling bearings using MRA and neuralnetworks”, Mechanical Systems and Signal Processing, Vol 24 No 1 pp. 289-299, 27June 2009.

J. Lee, R. Abujamra, A.K.S. Jardine, D. Lin, D. Banjevic,

“An integrated platform for diagnostics, prognostics and maintenance optimization”, in: The IMS ’2004 International Conference on Advances in Maintenance and in Modeling, Simulation and Intelligent Monitoring of Degradations, Arles, France, 2004.

Andrew K.S. Jardine, Daming Lin, Dragan Banjevic, “A review on machinery diagnostics and prognostics implementing condition-based maintenance, Mechanical Systems and Signal Processing” (2006) pp.1483–1510.

S. Goldman. “Vibration Spectrum Analysis”. Industrial

Press Inc. 2nd edition. New York, USA, pp. 83-85, 113-122. 1999

J. Mitchell. “Introduction to Machinery Analysis and Monitoring”. Pennwell Books. 2nd edition. Oklahoma, USA, pp. 134-160. 1993.

National Instruments, Febrero 2008. [En l´ınea]. Disponible en: www.ni.com.

T. Butcher. “10 Questions to ask when selecting your sound and vibration measurement system”. Enero 2006. [En l´ınea]. Disponible en: http://www.ni.com/academic/instructor/meche dy

namics vibration.htm

SKF Group “The Power of Knowledge Engineering”

Julio 2014 [En l´ınea]. Disponible en: www.skf.com

Case Western Reserve University, Julio 2014 [En l´ınea]. Disponible en: http://www.eecs.cwru.edu/laboratory/bearing.

Cómo citar

APA

Gomez Ramırez, V. M., Serna Bedoya, J. C., & Velez Lopez, L. (2014). Diagnosis of bearing with mechanical vibrations and virtual instruments. Visión electrónica, 8(2), 107–113. https://doi.org/10.14483/22484728.9881

ACM

[1]
Gomez Ramırez, V.M., Serna Bedoya, J.C. y Velez Lopez, L. 2014. Diagnosis of bearing with mechanical vibrations and virtual instruments. Visión electrónica. 8, 2 (dic. 2014), 107–113. DOI:https://doi.org/10.14483/22484728.9881.

ACS

(1)
Gomez Ramırez, V. M.; Serna Bedoya, J. C.; Velez Lopez, L. Diagnosis of bearing with mechanical vibrations and virtual instruments. Vis. Electron. 2014, 8, 107-113.

ABNT

GOMEZ RAMIREZ, V. M.; SERNA BEDOYA, J. C.; VELEZ LOPEZ, L. Diagnosis of bearing with mechanical vibrations and virtual instruments. Visión electrónica, [S. l.], v. 8, n. 2, p. 107–113, 2014. DOI: 10.14483/22484728.9881. Disponível em: https://revistas.udistrital.edu.co/index.php/visele/article/view/9881. Acesso em: 24 ene. 2022.

Chicago

Gomez Ramırez, Vıctor Manuel, Juan Carlos Serna Bedoya, y Luisa Velez Lopez. 2014. «Diagnosis of bearing with mechanical vibrations and virtual instruments». Visión electrónica 8 (2):107-13. https://doi.org/10.14483/22484728.9881.

Harvard

Gomez Ramırez, V. M., Serna Bedoya, J. C. y Velez Lopez, L. (2014) «Diagnosis of bearing with mechanical vibrations and virtual instruments», Visión electrónica, 8(2), pp. 107–113. doi: 10.14483/22484728.9881.

IEEE

[1]
V. M. Gomez Ramırez, J. C. Serna Bedoya, y L. Velez Lopez, «Diagnosis of bearing with mechanical vibrations and virtual instruments», Vis. Electron., vol. 8, n.º 2, pp. 107–113, dic. 2014.

MLA

Gomez Ramırez, V. M., J. C. Serna Bedoya, y L. Velez Lopez. «Diagnosis of bearing with mechanical vibrations and virtual instruments». Visión electrónica, vol. 8, n.º 2, diciembre de 2014, pp. 107-13, doi:10.14483/22484728.9881.

Turabian

Gomez Ramırez, Vıctor Manuel, Juan Carlos Serna Bedoya, y Luisa Velez Lopez. «Diagnosis of bearing with mechanical vibrations and virtual instruments». Visión electrónica 8, no. 2 (diciembre 28, 2014): 107–113. Accedido enero 24, 2022. https://revistas.udistrital.edu.co/index.php/visele/article/view/9881.

Vancouver

1.
Gomez Ramırez VM, Serna Bedoya JC, Velez Lopez L. Diagnosis of bearing with mechanical vibrations and virtual instruments. Vis. Electron. [Internet]. 28 de diciembre de 2014 [citado 24 de enero de 2022];8(2):107-13. Disponible en: https://revistas.udistrital.edu.co/index.php/visele/article/view/9881

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