PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Tytuł artykułu

Automatic calibration system for digital-display vibrometers based on machine vision

Autorzy
Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Considering the low efficiency during the process of traditional calibration for digital-display vibrometers, an automatic calibration system for vibrometers based on machine vision is developed. First, an automatic vibration control system is established on the basis of a personal computer, and the output of a vibration exciter on which a digital-display vibrometer to be calibrated is installed, is automatically adjusted to vibrate at a preset vibration level and a preset frequency. Then the display of the vibrometer is captured by a digital camera and identified by means of image recognition. According to the vibration level of the exciter measured by a laser interferometer and the recognized display of the vibrometer, the properties of the vibrometer are calculated and output by the computer. Image recognition algorithms for the display of the vibrometer with a high recognition rate are presented, and the recognition for vibrating digits and alternating digits is especially analyzed in detail. Experimental results on the built-up system show that the prposed image recognition methods are very effective and the system could liberate operators from boring and intense calibration work for digital-display vibrometers.
Rocznik
Strony
317--328
Opis fizyczny
Bibliogr. 21 poz., rys., tab., wykr., wzory
Twórcy
autor
  • The State Key Laboratory of Fluid Power Transmission and Control, Zhejiang Province Key Laboratory of Advanced Manufacturing Technology, Zhejiang University, 310027, Hangzhou, China
autor
  • The State Key Laboratory of Fluid Power Transmission and Control, Zhejiang Province Key Laboratory of Advanced Manufacturing Technology, Zhejiang University, 310027, Hangzhou, China
autor
  • Shanghai Key Laboratory of Spacecraft Mechanism, Shanghai 201109, China
autor
  • ACRE Coking & Refractory Engineering Consulting Corporation, MCC, Dalian 116085, China
autor
  • Zhejiang Provincial Institute of Electric Power Test and Research, 310014, Hangzhou, China
Bibliografia
  • [1] Payne, W.V., Geist, J. (2007). Low cost digital vibration meter. J. Res. Natl. Inst. of Stan., 112(2), 115-128.
  • [2] Cristallia, C., Paoneb, N., Rodriguez, R.M. (2006). Mechanical fault detection of electric motors by laser vibrometer and accelerometer measurements. Mech. Syst. Signal Pr., 20(6), 1350-1361.
  • [3] Lee, S.K., White, P.R. (1998). The enhancement of impulsive noise and vibration signals for fault detection in rotating and reciprocating machinery. J. Sound Vib., 217(3), 485-505.
  • [4] Tandon, N., Choudhury, A. (1999). A review of vibration and acoustic measurement methods for the detection of defects in rolling element bearings. Tribol. Int., 32(8), 469-480.
  • [5] ISO 16063-11 (1999). Methods for the calibration of vibration and shock transducers: Part 11. Primary vibration calibration by laser interferometry. International Organization for Standardization.
  • [6] General Administration of Quality Supervision, Inspection and Quarantine of the People's Republic of China (2000). JJG 676-2000 Working Measuring Vibration Instruments. Beijing, China: China Metrology Publishing House.
  • [7] He, W., Jia, S.S. (2001). Development of Automatic Vibration Calibration System. Proceedings of the International Symposium on Precision Mechanical Measurement. Hefei, China.
  • [8] Hemming, B., Fagerlund, A., Lassila, A. (2007). High-accuracy automatic machine vision based calibration of micrometers. Meas. Sci. Technol., 18(5), 1655-1660.
  • [9] Hemming, B., Lehto, H. (2002). Calibration of dial indicators using machine vision. Meas. Sci. Technol., 13(1), 45-49.
  • [10] Andria, G., Cavone, G., Fabbiano, L., Giaquinto, N., Savino, M. (2009). Automatic calibration system for digital instruments without built-in communication interface. XIX IMEKO World Congress. Lisbon.
  • [11] Alegria, F.C., Serra, A.C. (2000). Automatic calibration of analog and digital measuring instruments using computer vision. IEEE Trans. Instrum. Meas., 49(1), 94-9.
  • [12] Alegria, F.C., Serra, A.C. (2000). Computer vision applied to the automatic calibration of measuring instruments. Measurement, 28(3), 185-195.
  • [13] Vázquez-Fernández, E., González-Jorge, H., Dacal-Nieto, Á., Martín, F., Formella, A. (2008). Human feature perception as a complementary method for digit recognition. Conference on Visualization, Imaging, and Image Processing. Palma de Mallorca, Spain.
  • [14] Vázquez-Fernández, E., Dacal-Nieto, A., González-Jorge, H.s, Martín, F., Foemella, A. and Alvarez- Valado, V. (2009). A machine vision system for the calibration of digital thermometers. Meas. Sci. Technol., 20(6), 1-7.
  • [15] Belan, P.A., Araujo, S.A., Librantz, A.F.H. (2013). Segmentation-free approaches of computer vision for automatic calibration of digital and analog instruments. Measurement, 46(1), 177-184.
  • [16] Kiwilszo, M., Zieliński, A., Smulko, J., & Darowicki, K. (2012). Improving AFM Images with Harmonic Interference by Spectral Analysis. Microscopy and Microanalysis, 18(01), 186-195.
  • [17] Samper, D., Santolaria, J., Majarena, A. C., & Aguilar, J. J. (2013). Correction of the Refraction Phenomenon in Photogrammetric Measurement Systems. Metrology and Measurement Systems, 20(4), 601-612.
  • [18] Dobosz, M., Usuda, T., Kurosawa, T. (1998). Methods for the calibration of vibration pick-ups by laser interferometry: II. Experimental verification. Meas. Sci. Technol., 9(2), 240-249.
  • [19] Gonzalez, R.C., Woods, R.E. (2008). Digital Image Processing, Third Edition. Upper Saddle River, New Jersey: Pearson Prentice Hall.
  • [20] Pastor, M., Toselli, A., & Vidal, E. (2004). Projection profile based algorithm for slant removal. In Image Analysis and Recognition 183-190. Springer Berlin Heidelberg.
  • [21] Richard, G.C., Eric, L. (1996). A Survey of methods and strategies in character segmentation. IEEE Trans. Pattern Anal., 18(7), 690-706.
Uwagi
EN
This research is sponsored by the Science Fund for Creative Research Groups of National Natural Science Foundation of China (Grant No. 51221004), the Zhejiang Provincial Science Fund for Distinguished Young Scholars in China (Grant No. LR12E05001), the National Natural Science Foundation of China (Grant No. 51375443), and the Key Science and Technology Innovation Team Program of Zhejiang Province in China (Grant No. 2009R50008).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-7c312fb8-16f0-41eb-a0f4-f7a5e7a72d8d
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.