Optimal shaft speed extraction and its application in wind turbine condition monitoring

CAI Zekai1, YU Lichao1, WU Taihuan1, LUO Huageng1, ZHANG Fanghong2, ZHANG Ning3, ZHOU Qingmei3

Journal of Vibration and Shock ›› 2023, Vol. 42 ›› Issue (11) : 148-155.

PDF(1804 KB)
PDF(1804 KB)
Journal of Vibration and Shock ›› 2023, Vol. 42 ›› Issue (11) : 148-155.

Optimal shaft speed extraction and its application in wind turbine condition monitoring

  • CAI Zekai1, YU Lichao1, WU Taihuan1, LUO Huageng1, ZHANG Fanghong2, ZHANG Ning3, ZHOU Qingmei3
Author information +
History +

Abstract

In wind turbine condition monitoring, application of synchronous resampling and synchronous analysis techniques can greatly alleviate the spectral energy dispersion phenomenon caused by the variable speed operations so that it is easier to realize damage feature extraction. However, the existing wind turbine condition monitoring system is usually not equipped with the speed sensor, therefore, extracting the shaft instantaneous phase from the measured vibration responses is the key to realize synchronous resampling and synchronous analysis techniques. The existing speed extraction methods with phase demodulation are often difficult to obtain accurate phase information due to the problem of bandwidth selection and other restrictions. In this paper, an optimal shaft speed extraction (OSSE) based on the combination of one-step cost function (OSCF), optimal bandwidth searching and Hilbert phase demodulation to extract the shaft instantaneous speed of wind turbine. The simulation results show that the proposed method can obtain accurate phase information. Using this phase signal to synchronously resampling the vibration signal and carry out the spectrum analysis, a clearer order spectrum can be obtained. Finally, the vibration data from a real wind turbine operation are used to verify the proposed method. The analysis results derive the similar conclusions as those from simulations. The effectiveness and accuracy of the proposed method are demonstrated.

Key words

instantaneous speed / instantaneous phase / synchronous resampling / fault detection / wind turbine

Cite this article

Download Citations
CAI Zekai1, YU Lichao1, WU Taihuan1, LUO Huageng1, ZHANG Fanghong2, ZHANG Ning3, ZHOU Qingmei3. Optimal shaft speed extraction and its application in wind turbine condition monitoring[J]. Journal of Vibration and Shock, 2023, 42(11): 148-155

References

[1] Kandukuri S T, Klausen A, Karimi H R, et al. A review of diagnostics and prognostics of low-speed machinery towards wind turbine farm-level health management[J]. Renewable and Sustainable Energy Reviews, 2016, 53: 697-708.
[2] Teng W, Ding X, Tang S, et al. Vibration analysis for fault detection of wind turbine drivetrains—a comprehensive investigation[J]. Sensors, 2021, 21(5): 1686.
[3] Hameed Z, Hong YS, Choa YM, Ahn SH, Song CK. Condition monitoring and fault detection of wind turbines and related algorithms: a review. Renewable and Sustainable Energy Reviews 2009; 13: 1-39.
[4] Liu X, Du J, Ye Z S. A Condition Monitoring and Fault Isolation System for Wind Turbine based on SCADA Data[J]. IEEE Transactions on Industrial Informatics, 2021.
[5] Zhang Y, Lu W, Chu F. Planet gear fault localization for wind turbine gearbox using acoustic emission signals[J]. Renewable Energy, 2017, 109: 449-460.
[6] Márquez F P G, Tobias A M, Pérez J M P, et al. Condition monitoring of wind turbines: Techniques and methods[J]. Renewable energy, 2012, 46: 169-178.
[7] Teng W, Ding X, Tang S, et al. Vibration Analysis for Fault Detection of Wind Turbine Drivetrains—A Comprehensive Investigation[J]. Sensors, 2021, 21(5): 1686.
[8] Hu T, Wan H, Luo H. Vibration-based synchronous sampling and its application in wind-turbine drive-train-condition monitoring[J]. Clean Energy, 2021, 5(1): 79-92.
[9] Lu S, Yan R, Liu Y, et al. Tacholess speed estimation in order tracking: A review with application to rotating machine fault diagnosis[J]. IEEE Transactions on Instrumentation and Measurement, 2019, 68(7): 2315-2332.
[10] Peeters C, Leclere Q, Antoni J, et al. Review and comparison of tacholess instantaneous speed estimation methods on experimental vibration data[J]. Mechanical Systems and Signal Processing, 2019, 129: 407-436.
[11] Urbanek J, Barszcz T, Sawalhi N, et al. Comparison of amplitude-based and phase-based method for speed tracking in application to wind turbines [J]. Metrology and measurement systems, 2011, 18(2): 295-303.
[12] Wang J, He Q, Kong F. A new synthetic detection technique for trackside acoustic identification of railroad roller bearing defects [J]. Applied acoustics, 2014, 85: 69-81.
[13] Jiang X, Li S. A dual path optimization ridge estimation method for condition monitoring of planetary gearbox under varying-speed operation [J]. Measurement, 2016, 94: 630-644.
[14] Coats M D, Randall R B. Order-Tracking with and without a tacho signal for gear fault diagnostics[C]. Proceedings of Acoustics. 2012: 1-6.
[15] Coats M D, Randall R B. Single and multi-stage phase demodulation based order-tracking[J]. Mechanical Systems and Signal Processing, 2014, 44(1-2): 86-117.
[16] Randall R, Smith W. Use of the Teager Kaiser Energy Operator to estimate machine speed[C]. PHM Society European Conference. 2016: 3(1).
[17] Urbanek J, Barszcz T, Antoni J. A two-step procedure for estimation of instantaneous rotational speed with large fluctuations[J]. Mechanical Systems & Signal Processing, 2013, 38(1):96-102.
[18] McFadden P D. Interpolation techniques for time domain averaging of gear vibration[J]. Mechanical systems and signal processing, 1989, 3(1): 87-97.
[19] Večeř P, Kreidl M, Šmíd R. Condition indicators for gearbox condition monitoring systems[J]. Acta Polytechnica, 2005, 45(6):35-43.
PDF(1804 KB)

402

Accesses

0

Citation

Detail

Sections
Recommended

/