SHAFT ALIGNMENT MEASUREMENT SYSTEM DEVELOPED FOR INDUSTRIAL APPLICATIONS

Autores/as

  • Iván Mendoza Universidad Privada Bolivana
  • Grover Zurita Universidad Privada Bolivana

Palabras clave:

Misalignment, Induction Sensor, Rotating Machinery, Condition Based Maintenance (CBM).

Resumen

In the industry, the shaft misalignment is considered a common fault in rotating machines. Inadequate alignment of rotating shafts through couplings often lead to severe vibration complications with premature failure of machines parts. It is, without uncertainty, the greatest loss of profits allocated to misalignment, resulting limited production, increasing energy cost, increasing downtime and premature breakdown of the equipment. It´s of a big paramount to optimize the rotating machines efficiency by an appropriate alignment technique. Therefore, from aforementioned, the main objective of this research work is to develop a low-cost, with high precision shaft alignment measurement system for industrial applications. The developed prototype was based on an inductive sensor system, which is a non-contacting and electronic dial indicator equipment. It was used an Arduino Uno for the data acquisition procedure and Matlab® for the data analysis processes. The performance and the effectiveness of the proposed measurement system were verified by an experimental validation procedure. Finally, the research approach was successfully accomplished, by developing a shaft alignment system with ultra-low cost with high degree of accuracy. The overall average standard deviation of the experimental data set was about 0.02 mm, which is under the standard recommended values for alignment.

Descargas

Los datos de descargas todavía no están disponibles.

Afiliación del autor/a

Iván Mendoza, Universidad Privada Bolivana

Laboratorio de Innovación Tecnológica Industrial y Robótica (LITIR)

Grover Zurita, Universidad Privada Bolivana

Laboratorio de Innovación Tecnológica Industrial y Robótica (LITIR)

Referencias

A. Grall, C. Bérenguer, y L. Dieulle, «A condition-based maintenance policy for stochastically deteriorating systems», Reliability Engineering & System Safety, vol. 76, n.o 2, pp. 167–180, 2002.

J. Piotrowski, Shaft alignment handbook, 3rd ed. Boca Raton: CRC Press, 2007.

D. L. Dewell y L. D. Mitchell, «Detection of a misaligned disk coupling using spectrum analysis», Journal of vibration, acoustics, stress, and reliability in design, vol. 106, n.o 1, pp. 9–16, 1984.

A. a Sekhar y B. S. Prabhu, «Effects of coupling misalignment on vibrations of rotating machinery», Journal of Sound and vibration, vol. 185, n.o 4, pp. 655–671, 1995.

H. Cho y M. Jeong, «Enhanced prediction of misalignment conditions from spectral data using feature selection and filtering», Expert Systems with Applications, vol. 35, n.o 1-2, pp. 451-458, jul. 2008.

I. Bravo-Imaz, H. Davari Ardakani, Z. Liu, A. García-Arribas, A. Arnaiz, y J. Lee, «Motor current signature analysis for gearbox condition monitoring under transient speeds using wavelet analysis and dual-level time synchronous averaging», Mechanical Systems and Signal Processing, vol. 94, pp. 73-84, sep. 2017.

A.M. Knight y S.P. Bertani, «Mechanical fault detection in a medium-sized induction motor using stator current monitoring», IEEEE Transactions on energy convension, vol. 4, pp. 753-760, dic. 2005.

M. Abd-el-Malek, A. K. Abdelsalam, y O. E. Hassan, «Induction motor broken rotor bar fault location detection through envelope analysis of start-up current using Hilbert transform», Mechanical Systems and Signal Processing, vol. 93, pp. 332-350, sep. 2017.

B. Corne, C. Debruyne, P. De Baets, y J. Desmet, «Stator current measurements as a condition monitoring technology—The-state-of-the-art», en Electrical Machines (ICEM), 2014 International Conference on, 2014, pp. 1659–1665.

Nandi, S.; Toliya H.A, «Novel frequency domain based technique to detect incipient stator inter-turn faults in induction machines», vol. vol.1, no., pp.367-374 vol.1, n.o Industry Applications Conference, 2000, 2000.

A. Simm, Q. Wang, S. Huang, y W. Zhao, «Laser based measurement for the monitoring of shaft misalignment», Measurement, vol. 87, pp. 104-116, jun. 2016.

X. Zhang y H. Zhao, «A four-point quantitative detection method for shafts misalignment», en Ubiquitous Robots and Ambient Intelligence (URAI), 2016 13th International Conference on, 2016, pp. 921–925.

W. Xinwei y M. Li, «The Design of a Simple Laser Shaft Alignment Instrument», 2010, pp. 653-655.

A. G. Fulzele, V. G. Arajpure, P. P. Holay, y N. M. Patil, «Condition monitoring of shaft of single-phase induction motor using optical sensor», Mechanical Systems and Signal Processing, vol. 29, pp. 428-435, may 2012.

Pruftechnik Company.«An engineers guide to shaft alignment, vibrationa anlysis , dynamic balancing & wear debris».2001 .

Mobley Keith, Maintenance fundamentls. Butterworth-heinemann, 2004.

Svenka Kullage Forening, «SKF TKSA 11 Manual de instrucciones alineador de ejes».2007 .

H.E. Peña, Fallas en los motores eléctricos de induction, vol. III. 1994.

Asea Brown Bovery, «Intruction manual for engineers ABB».www.new.abb.com/docs/librariesprovider53/about-downloads/ motors_ebooks.pdf?sfvrsn=4. 2015.

Publicado

12-07-2018

Cómo citar

Mendoza, I., & Zurita, G. (2018). SHAFT ALIGNMENT MEASUREMENT SYSTEM DEVELOPED FOR INDUSTRIAL APPLICATIONS. Revista Investigación &Amp; Desarrollo, 18(1). Recuperado a partir de https://www.upb.edu/revista-investigacion-desarrollo/index.php/id/article/view/172

Número

Sección

Ingenierías