Have a personal or library account? Click to login
Blade Tip-timing Technology with Multiple Reference Phases for Online Monitoring of High-speed Blades under Variable-speed Operation Cover

Blade Tip-timing Technology with Multiple Reference Phases for Online Monitoring of High-speed Blades under Variable-speed Operation

Measurement Science Review
Volume 18 (2018): Issue 6 (October 2018)
By: Zhang Ji-wang,  Zhang Lai-bin,  Ding Ke-Qin and  Duan Li-xiang  
Open Access
|Nov 2018

References

  1. [1] Tavakolpour-Saleh, A.R., Setoodeh, A.R., Gholamzadeh, M. (2016). A novel multi-component strain-gauge external balance for wind tunnel tests: Simulation and experiment. Sensors and Actuators A: Physical, 247, 172-186.10.1016/j.sna.2016.05.035
    Search in Google ScholarBack to article
  2. [2] Sierra-Pérez, J., Torres-Arredondo, M.A., Güemes, A. (2016). Damage and nonlinearities detection in wind turbine blades based on strain field pattern recognition. FBGs, OBR and strain gauges comparison. Composite Structures, 135, 156-166.10.1016/j.compstruct.2015.08.137
    Search in Google ScholarBack to article
  3. [3] Rothberg, S.J., Allen, M.S., Castellini, P. (2017). An international review of laser Doppler vibrometry: Making light work of vibration measurement. Optics and Lasers in Engineering, 99, 11-22.10.1016/j.optlaseng.2016.10.023
    Search in Google ScholarBack to article
  4. [4] Tang, J., Soua, S., Mares, C. (2016). An experimental study of acoustic emission methodology for in service condition monitoring of wind turbine blades. Renewable Energy, 99, 170-179.10.1016/j.renene.2016.06.048
    Search in Google ScholarBack to article
  5. [5] Talbot, J., Wang, Q., Brady, N. (2016). Offshore wind turbine blades measurement using Coherent Laser Radar. Measurement, 79, 53-65.10.1016/j.measurement.2015.10.030
    Search in Google ScholarBack to article
  6. [6] Battiato, G., Firrone, C.M., Berruti, T.M. (2017). Forced response of rotating bladed disks: Blade Tip-Timing measurements. Mechanical Systems and Signal Processing, 85, 912-926.10.1016/j.ymssp.2016.09.019
    Search in Google ScholarBack to article
  7. [7] Lin, J., Hu, Z., Chen, Z.-S. (2016). Sparse reconstruction of blade tip-timing signals for multimode blade vibration monitoring. Mechanical Systems and Signal Processing, 81, 250-258.10.1016/j.ymssp.2016.03.020
    Search in Google ScholarBack to article
  8. [8] Guo, H., Duan, F., Zhang, J. (2016). Blade resonance parameter identification based on tip-timing method without the once-per revolution sensor. Mechanical Systems and Signal Processing, 66-67, 625-639.10.1016/j.ymssp.2015.06.016
    Search in Google ScholarBack to article
  9. [9] dos Santos, F.L.M., Peeters, B., van der Auweraer, H. (2016). Vibration-based damage detection for a composite helicopter main rotor blade. Case Studies in Mechanical Systems and Signal Processing, 3, 22-27.10.1016/j.csmssp.2016.01.001
    Search in Google ScholarBack to article
  10. [10] Rzadkowski, R., Rokicki, E., Piechowski, L. (2016). Analysis of middle bearing failure in rotor jet engine using tip-timing and tip-clearance techniques. Mechanical Systems and Signal Processing, 76-77, 213-227.10.1016/j.ymssp.2016.01.014
    Search in Google ScholarBack to article
  11. [11] Rigosi, G., Battiato, G., Berruti, T.M. (2017). Synchronous vibration parameters identification by tip timing measurements. Mechanics Research Communications, 79, 7-14.10.1016/j.mechrescom.2016.10.006
    Search in Google ScholarBack to article
  12. [12] Neumann, M., Dreier, F., Günther, P. (2015). A laseroptical sensor system for blade vibration detection of high-speed compressors. Mechanical Systems and Signal Processing, 64-65, 337-346.10.1016/j.ymssp.2015.04.026
    Search in Google ScholarBack to article
  13. [13] Allport, J.M., Jupp, M.L., Pezouvanis, A. (2012). Turbocharger blade vibration: Measurement and validation through laser tip-timing. In 10th International Conference on Turbochargers and Turbocharging, 173-181.10.1533/9780857096135.3b.173
    Search in Google ScholarBack to article
  14. [14] Chen, Z., Yang, Y., Xie, Y. (2013). Non-contact crack detection of high-speed blades based on principal component analysis and Euclidian angles using opticalfiber sensors. Sensors and Actuators A: Physical, 201, 66-72.10.1016/j.sna.2013.06.018
    Search in Google ScholarBack to article
  15. [15] Di Maio, D., Ewins, D.J. (2012). Experimental measurements of out-of-plane vibrations of a simple blisk design using Blade Tip Timing and Scanning LDV measurement methods. Mechanical Systems and Signal Processing, 28, 517-527.10.1016/j.ymssp.2011.09.018
    Search in Google ScholarBack to article
  16. [16] Günther, P., Dreier, F., Pfister, T. (2011). Measurement of radial expansion and tumbling motion of a high-speed rotor using an optical sensor system. Mechanical Systems and Signal Processing, 25, 319-330.10.1016/j.ymssp.2010.08.005
    Search in Google ScholarBack to article
  17. [17] Zhou, Z., Chen, S., Li, W. (2018). Experiment study of aerodynamic performance for the suction-side and pressure-side winglet-cavity tips in a turbine blade cascade. Experimental Thermal and Fluid Science, 90, 220-230.10.1016/j.expthermflusci.2017.09.020
    Search in Google ScholarBack to article
  18. [18] Ma, H., Lu, Y., Wu, Z., Tai, X. (2016). Vibration response analysis of a rotational shaft–disk–blade system with blade-tip rubbing. International Journal of Mechanical Sciences, 107, 110-125.10.1016/j.ijmecsci.2015.12.026
    Search in Google ScholarBack to article
  19. [19] Tahani, M., Maeda, T., Babayan, N. (2017). Investigating the effect of geometrical parameters of an optimized wind turbine blade in turbulent flow. Energy Conversion and Management, 153, 71-82.10.1016/j.enconman.2017.09.073
    Search in Google ScholarBack to article
  20. [20] Heath, S., Imregun, M. (1996). An improved singleparameter tip-timing method for turbomachinery blade vibration measurements using optical laser probes. International Journal of Mechanical Sciences, 38, 1047-1058.10.1016/0020-7403(95)00116-6
    Search in Google ScholarBack to article
  21. [21] Xie, F., Ma, H., Cui, C. (2017). Vibration response comparison of twisted shrouded blades using different impact models. Journal of Sound and Vibration, 397, 171-191.10.1016/j.jsv.2017.02.056
    Search in Google ScholarBack to article
  22. [22] Huang, H., Baddour, N., Liang, M. (2018). Bearing fault diagnosis under unknown time-varying rotational speed conditions via multiple time-frequency curve extraction. Journal of Sound and Vibration, 414, 43-60.10.1016/j.jsv.2017.11.005
    Search in Google ScholarBack to article
  23. [23] Feng, Z., Chen, X., Wang, T. (2017). Time-varying demodulation analysis for rolling bearing fault diagnosis under variable speed conditions. Journal of Sound and Vibration, 400, 71-85.10.1016/j.jsv.2017.03.037
    Search in Google ScholarBack to article
  24. [24] Mishra, C., Samantaray, A.K., Chakraborty, G. (2016). Rolling element bearing defect diagnosis under variable speed operation through angle synchronous averaging of wavelet de-noised estimate. Mechanical Systems and Signal Processing, 72-73, 206-222.10.1016/j.ymssp.2015.10.019
    Search in Google ScholarBack to article
  25. [25] Wang, T., Liang, M., Li, J. (2015). Bearing fault diagnosis under unknown variable speed via gear noise cancellation and rotational order sideband identification. Mechanical Systems and Signal Processing, 62-63, 30-53.10.1016/j.ymssp.2015.03.005
    Search in Google ScholarBack to article
  26. [26] Abboud, D., Antoni, J., Sieg-Zieba, S. (2017). Envelope analysis of rotating machine vibrations in variable speed conditions: A comprehensive treatment. Mechanical Systems and Signal Processing, 84, 200-226.10.1016/j.ymssp.2016.06.033
    Search in Google ScholarBack to article
  27. [27] Guo, Y., Li, G., Chen, H. (2017). Development of a virtual variable-speed compressor power sensor for variable refrigerant flow air conditioning system. International Journal of Refrigeration, 74, 73-85.10.1016/j.ijrefrig.2016.09.025
    Search in Google ScholarBack to article
  28. [28] Han, D., Pastrikakis, V., Barakos, G.N. (2016). Helicopter performance improvement by variable rotor speed and variable blade twist. Aerospace Science and Technology, 54, 164-173.10.1016/j.ast.2016.04.011
    Search in Google ScholarBack to article
  29. [29] Yang, J., Song, D., Dong, M. (2016). Comparative studies on control systems for a two-blade variablespeed wind turbine with a speed exclusion zone. Energy, 109, 294-309.10.1016/j.energy.2016.04.106
    Search in Google ScholarBack to article
  30. [30] Wang, W., Ren, S., Chen, L., Shao, H. (2017). The blade vibration measurement research based on the key phase interpolation method. Journal of Vibration, Measurement & Diagnosis, 37, 361-365.
    Search in Google ScholarBack to article
  31. [31] Blundell, M., Harty, D. (2014). Multibody systems simulation software. In The Multibody Systems Approach to Vehicle Dynamics (Second Edition). Butterworth-Heinemann, 87-184
    Search in Google ScholarBack to article
DOI: https://doi.org/10.1515/msr-2018-0033 | Journal eISSN: 1335-8871
Journal RSS Feed
Language: English
Page range: 243 - 250
Submitted on: Apr 9, 2018
|
Accepted on: Nov 7, 2018
|
Published on: Nov 30, 2018
Published by: Slovak Academy of Sciences, Institute of Measurement Science
In partnership with: Paradigm Publishing Services
Publication frequency: Volume open
Keywords:
BTT technology,
variable speed,
online monitoring,
multiple reference phases (MRP)
Related subjects:
Engineering,
Electrical engineering,
Control engineering, metrology and testing

© 2018 Zhang Ji-wang, Zhang Lai-bin, Ding Ke-Qin, Duan Li-xiang, published by Slovak Academy of Sciences, Institute of Measurement Science
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Previous articleVolume 18 (2018): Issue 6 (October 2018)Next article