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Fast filtration method for static automatic catchweighing instruments using a nonstationary filter

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The filtration process of measurement signals which occur in industrial weighing systems, decides upon the accuracy of measurement and the duration time of the weighing process alike. The filtration problem gains great meaning in automatic catchweighing instruments whose rate of operation, in case of static weighing, can reach even a hundred weighings per minute. Since output signals from the catchweighing instruments, due to mechanical vibrations and the noise from the environment, are always contaminated with noise, filtration methods which ensure strong attenuation of vibrations and fast transmission of the signal's constant component, should be applied. In this case, filtration methods involving nonstationary filters turn out to be a good solution. In the paper the filtration method using a discrete nonstationary filter has been discussed. The results of the numerical experiment which was carried out based on the measurement signals recorded on the catchweigher operating in the industrial environment, have been presented. The results obtained using the nonstationary filter have been compared with its stationary equivalent.
Rocznik
Strony
669--676
Opis fizyczny
Bibliogr. 13 poz., rys., tab., wykr.
Twórcy
autor
  • West Pomeranian University of Technology, Faculty of Electrical Engineering, Institute of Control Engineering, 26 Kwietnia 10, 71-126 Szczecin, Poland, pietrzak@zut.edu.pl
Bibliografia
  • [1] International Recommendation OIML R51-1. Automatic catchweighing instruments. Part1: Metrological and technical requirements - Test. 2006.
  • [2] M. Niedźwiedzki, A. Wasilewski: “Application of adaptive filtering to dynamic weighing of vehicles”. Control Eng. Practice, vol. 4, no. 5, 1996, pp. 635-644.
  • [3] M. Niedźwiedzki: Identification of time-varying processes. J. Wiley & Sons Ltd., 2000.
  • [4] P. Burnos, J. Gajda, P. Piwowar, R. Sroka, M. Stencel, T. Żegleń: “Accurate weighing of moving vehicles”. Metrol. Meas. Syst., vol. XIV, no. 4, 2007, pp. 507-516.
  • [5] M. Halimic, W. Balachandran: “Kalman filter for dynamic weighing system”. IEEE Symposium on Industral Electronics, Athens, July 1995, pp. 787-791.
  • [6] R. Tasaki, T. Yamazaki, H. Ohnishi, M. Kobayashi, S. Kurosu: “Continuous weighing on a multi-stage conveyor belt with FIR filter”. Measurement, vol. 40, no. 7-8, August-October 2007, pp. 791-796.
  • [7] L.A. Zadeh: “Frequency analysis of variable networks”. Proc. IRE, vol. 38, 1950, pp. 291-299.
  • [8] H. D’Angelo: Linear time-varying systems. Allyn and Bacon, Boston, 1970.
  • [9] R. Kaszyński: “The properties of parametric filter of signal constant component”. Metrol. Meas. Syst., vol. V, no. 4, 1998, pp. 303-313.
  • [10] J. Piskorowski: “A new concept of phase-compensated continuous-time Chebyshev filters”. Signal Processing, vol. 88, no. 3, March 2008, pp. 437-447.
  • [11] J. Piskorowski, T. Barciński: “Dynamic compensation of load cell response: A time-varying approach”. Mechanical Systems and Signal Processing, vol. 22, no. 7, October 2008, pp. 1696-1704.
  • [12] P. Pietrzak: “The conception of fast filtration of weighing signals using parametric filters”. PAK, vol. 53, no. 9, 2007, pp. 134-137. (in Polish)
  • [13] A.V. Oppenheim, R.W. Schafer: Digital signal processing. Prentice-Hall, Inc.: Englewood Cliffs, NJ, 1975.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BSW1-0062-0013
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