Measurement of instantaneous shaft speed by advanced vibration signal processing-application to wind turbine gearbox

• Autorzy: Zimroz R. , Urbanek J. , Barszcz T. , Bartelmus W. , Millioz F. , Martin N.
• Języki publikacji: EN

Abstrakty

EN

Condition monitoring of machines working under non-stationary operations is one of the most challenging problems in maintenance. A wind turbine is an example of such class of machines. One of effective approaches may be to identify operating conditions and investigate their influence on used diagnostic features. Commonly used methods based on measurement of electric current, rotational speed, power and other process variables require additional equipment (sensors, acquisition cards) and software. It is proposed to use advanced signal processing techniques for instantaneous shaft speed recovery from a vibration signal. It may be used instead of extra channels or in parallel as signal verification.

Słowa kluczowe

EN

speed tracking; speed estimation; instantaneous frequency; spectrogram; wind turbines

• Wydawca: Komitet Metrologii i Aparatury Naukowej PAN
• Czasopismo: Metrology and Measurement Systems
• Rocznik: 2011
• Tom: Vol. 18, nr 4
• Strony: 701--711
• Opis fizyczny: Bibliogr. 31 poz.,

Twórcy

autor

Zimroz R.

autor

Urbanek J.

autor

Barszcz T.

autor

Bartelmus W.

autor

Millioz F.

autor

Martin N.

• AGH University of Science and Technology, Al. A. Mickiewicza 30, 30-059 Kraków, Poland,

Bibliografia

• [1] Stander, C. J., Heyns, P. S., Schoombie, W. (2002). Using vibration monitoring for local fault detection on gears operating under fluctuating load conditions. Mechanical Systems and Signal Processing, 16(6), 1005-1024.
• [2] Cempel, Cz., Tabaszewski M. (2007). Multidimensional condition monitoring of machines in nonstationary operation. Mechanical Systems and Signal Processing, 21, 1233-1241.
• [3] Bartelmus, W., Zimroz, R. (2009). A new feature for monitoring the condition of gearboxes in non-stationary operating conditions. Mechanical Systems and Signal Processing, 23(5), 1528-1534.
• [4] Grzadziela, A. (2007). An analysis of possible assessment of hazards to ship shaft line, resulting from impulse load. Polish Maritime Research, 14(3), 12-20.
• [5] Bartelmus, W., Chaari, F., Zimroz, R., Haddar, M. (2010). Modelling of gearbox dynamics under time varying non-stationary operation for distributed fault detection and diagnosis. European Journal of Mechanics - A/Solids, 29, 637-646.
• [6] Stander, C. J., Heyns, P. S., Schoombie, W. (2002). Using vibration monitoring for local fault detection on gears operating under fluctuating load conditions. Mechanical Systems and Signal Processing, 16(6), 1005-1024.
• [7] Zhan, Y., Makis, Y., Jardine, A. K. S. (2004). Adaptive state detection of gearboxes under varying load conditions based on parametric modelling. Mechanical Systems and Signal Processing, 20(1), 188-221.
• [8] Timusk, M., Lipsett, M., Mechefske, C. K. (2008). Fault detection using transient machine signals. Mechanical Systems and Signal Processing, 23, 1724-1749.
• [9] Baydar, N., Ball, A. (2002). Detection of gear deterioration under varying load conditions by using the instantaneous power spectrum. Mechanical Systems and Signal Processing, 14(6), 907-921.
• [10] Urbanek, J., Barszcz, T., Sawalhi, N., Randall, R. B. (2011). Comparison of amplitude based and phase based methods for speed tracking in application to wind turbines. Metrology and Measurement Systems, 18(2), 295-304.
• [11] Barszcz, T. Randall, R. B. (2009). Application of spectral kurtosis for detection of a tooth crack in the planetary gear of a wind turbine. Mechanical Systems And Signal Processing, 23(4), 1352-1365.
• [12] Barszcz, T. (2004). Proposal of new method of mechanical vibration measurement. Metrology and Measurement Systems, 11(4), 409-421.
• [13] Barszcz, T., Bielecka, M., Bielecki, A., Wójcik, M. (2011). Wind turbines states classification by a fuzzy-ART neural network with a stereographic projection as a signal normalization. Lecture Notes in Computer Science, 6594/2011, 225-234.
• [14] Barszcz, T., Bielecki, A., Wójcik, M. (2010). ART-type artificial neural networks applications for classification of operational states in wind turbines. Lecture Notes in Computer Science, 6114/2010, 11-18.
• [15] Bartelmus, W, Zimroz, R (2009). Vibration condition monitoring of planetary gearbox under varying external load. Mechanical Systems and Signal Processing, 23(1), 246-257.
• [16] Coats, M. D., Sawalhi, N., Randall, R. B. (23-25 Nov 2009). Extraction of tach information from a vibration signal for improved synchronous averaging. Proceedings of Acoustics. Adelaide. Australia.
• [17] Boashash, B. (1992). Estimating and Interpreting The Instantaneous Frequency of a Signal-Part 1: Fundamentals. Proceedings of the IEEE, 80(4), 520-538.
• [18] Boashash, B. (1992). Estimating and Interpreting the Instantaneous Frequency of a Signal-Part 2: Algorithms and Applications. Proceedings of the IEEE, 80(4), 540-568.
• [19] Borkowski, D. (2005). On-line instantaneous frequency estimation and voltage/current coherent resampling metod. Metrology and Measurement Systems, 12(1), 59-75.
• [20] Sedlacek, M., Krumpholc, M. (2005). Digital measurement of phase difference - a comparative study of DSP algorithms. Metrology and Measurement Systems, 12(4), 427-449.
• [21] Bonnardot, F., El Badaoui, M., Randall, R. B., Danière, J., Guillet, F. (2005). Use of the acceleration signal of a gearbox in order to perform angular resampling (with limited speed fluctuation). Mechanical Systems and Signal Processing, 19, 766-785.
• [22] Wallace, D. A., Darlow, M. S. (1988). Hilbert transform techniques for measurement of transient gear speeds. Mechanical Systems and Signal Processing, 2(2), 187-194.
• [23] Combet, F., Gelman, L. (2007). An automated methodology for performing time synchronous averaging of a gearbox signal without speed sensor. Mechanical Systems and Signal Processing, 21(6), 2590-2606.
• [24] Combet, F., Zimroz, R., (2009). A new method for the estimation of the instantaneous speed relative fluctuation in a vibration signal based on the short time scale transform. Mechanical Systems and Signal Processing, 23(4), 1382-139.
• [25] Zimroz, R., Combet, F. (2006). Time varying outer load and speed estimation by vibration analysis - application to planetary gearbox diagnosis in a mining bucket wheel excavator. Diagnostics, 4, 7-14.
• [26] Millioz, F., Martin N. (2006). Time-Frequency Segmentation for Engine Speed Monitoring. Proceedings of Thirteen International Congress on Sound and Vibration ICSV13, Vienna, Austria.
• [27] Zimroz R., Millioz F., Martin N. (2010). A procedure of vibration analysis from planetary gearbox under non-stationary cyclic operations for instantaneous frequency estimation in time-frequency domain. Proceedings of Condition Monitoring, Stratford Upon Avon, UK.
• [28] Proceedings of the IEEE. (1996). Special Issue on Time Frequency Analysis, 84(9), 1194-1345.
• [29] Gryllias, K., Antoniadis, I. (2009). Application of the Energy operator separation algorithm (EOSA) for the instantaneous amplitude and Frequency calculation of nonlinear dynamic systems response. Proceedings of the ASME International Design Engineering Conference and Computers and Information in Engineering Conference IDECT/CIE, San Diego, USA.
• [30] Christos, Y., Gryllias, K., Antoniadis, I. (2009). Instantaneous frequency in rotating machinery using a harmonic signal decomposition (HARD) parametric method. Proceedings of the ASME International Design Engineering Conference and Computers and Information in Engineering Conference IDECT/CIE, San Diego, USA.
• [31] Jabloun, M., Martin, N., Leonard, F., Vieira, M. (2008). Estimation of the amplitude and the frequency of nonstationary short-time signals. Signal Processing, 88(7), 1636-1655