CFP last date
20 January 2025
Reseach Article

Rotating Magnetic Field based Measurement of Large Machine Vibrations

Published on December 2011 by Syed Javed Arif, Mohammad Syed Jamil Asghar, Imdadullah
International Conference on Electronics, Information and Communication Engineering
Foundation of Computer Science USA
ICEICE - Number 6
December 2011
Authors: Syed Javed Arif, Mohammad Syed Jamil Asghar, Imdadullah
2578636c-425a-4cb4-a56f-e7c60c89ac2b

Syed Javed Arif, Mohammad Syed Jamil Asghar, Imdadullah . Rotating Magnetic Field based Measurement of Large Machine Vibrations. International Conference on Electronics, Information and Communication Engineering. ICEICE, 6 (December 2011), 12-16.

@article{
author = { Syed Javed Arif, Mohammad Syed Jamil Asghar, Imdadullah },
title = { Rotating Magnetic Field based Measurement of Large Machine Vibrations },
journal = { International Conference on Electronics, Information and Communication Engineering },
issue_date = { December 2011 },
volume = { ICEICE },
number = { 6 },
month = { December },
year = { 2011 },
issn = 0975-8887,
pages = { 12-16 },
numpages = 5,
url = { /specialissues/iceice/number6/4313-iceice046/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Special Issue Article
%1 International Conference on Electronics, Information and Communication Engineering
%A Syed Javed Arif
%A Mohammad Syed Jamil Asghar
%A Imdadullah
%T Rotating Magnetic Field based Measurement of Large Machine Vibrations
%J International Conference on Electronics, Information and Communication Engineering
%@ 0975-8887
%V ICEICE
%N 6
%P 12-16
%D 2011
%I International Journal of Computer Applications
Abstract

In large machines, vibration is one of the important parameters used for fault diagnosis as well as for monitoring the overall conditions of the machines. The conventional methods give a poor resolution of the measurement, missing the peak values of the vibrations, which is an important consideration for reliable operation of the machines. In the proposed work, a synchro and a fast rotating magnetic field (RMF) is used to measure the velocity of machine vibrations with high resolution in the millisecond range. Thus it easily records the peaks of vibration and even duration of the peak is also established. The broad spectrum of pulses within one second range, gives a pattern of variation including all possible values of instantaneous velocity of the machine vibrations. The measurement scheme is successfully tested with a microprocessor based rocking vibration arrangement and the overall performance is recorded at dynamic conditions.

References
  1. M. Makowski, P. Pietrzak, B. Pokoslawski and A. Napieralski, “Measurement synchronization in the vibration diagnostic system of high power electric machines,” in proc. 2010 MIXDES, 17th International Conf., Lods, Poland, pp. 566 – 569.
  2. J. Dybala, “Use of task - oriented dynamic resampling in reduction of signal non-stationarity,” Diagnostyka, vol. 48, pp. 25-30, 2008.
  3. A. Petrovsky, A. Stankevich, M. Omieljanowicz, G. Rubin, “Digital order tracking analysis for rotating machinery monitoring. theory and implementation,” Diagnostyka, vol .48, pp. 89-95, 2008
  4. F. Oliveira, G. Peláez, M. P. Donsió, “A comparison of the vibration characteristics of a rotating machine with a linear and a keyed shaft,” in proc. 2010 ICEM, XIX International Conf. Rome, pp. 1-3.
  5. N. Tandon, “A comparison of some vibration parameters for the condition monitoring of rolling element bearings,” Measurement, vol. 12, pp. 285–289, 1994.
  6. R. Heng and M. Nor, “Statistical analysis of sound and vibration signals for monitoring rolling element bearing condition,” Appl. Acoust., vol. 53, pp. 211–226, 1998.
  7. R. Randall, J. Antoni, and S. Chobsaard, “The relationship between spectral correlation and envelope analysis in the diagnostics of bearing faults and other cyclostationary machine signals,” Mech. Syst. Signal Process., vol. 15, pp. 945–962, 2001.
  8. J. Stack, T. Habetler, and R. Harley, “Fault-signature modeling and detection of inner-race bearing faults,” IEEE Trans. Ind. Appl, vol. 42, no. 1, pp. 61–68, Jan./Feb. 2006.
  9. T. Kaewkongka, Y. Au, R. Rakowski, and B. Jones, “A comparative study of short time Fourier transform and continuous wavelet transform for bearing condition monitoring,” Int. J. COMADEM, vol. 6, pp. 41–48, 2003.
  10. I. Cade, P. Keogh, and M. Sahinkaya, “Fault identification in rotor/ magnetic bearing systems using discrete time wavelet coefficients,” IEEE/ASME Trans. Mechatronics, vol. 10, no. 6, pp. 648–657, Dec. 2005.
  11. W. Wang and A. Jianu, “A smart sensing unit for vibration measurement and monitoring,” IEEE/ASME Trans. Mechatronics, vol. 15, no. 1, pp. 70-78, Feb. 2010.
Index Terms

Computer Science
Information Sciences

Keywords

RMF based measurement vibration transducer machine vibrations