Analysis Method for Under-sampled Blade Tip-timing Signal Based on the Rotational Invariance Technique with Total Least Squares Principle

被引：4
|
作者：
He C. [1 ]
Li H. [1 ]
Zhao X. [1 ]
Wang W. [2 ]
Wu S. [3 ]
机构：
[1] School of Mechanical Engineering, Dalian University of Technology, Dalian
[2] Beijing Key Laboratory of Health Monitoring Control and Fault Self-recovery for High-end Machinery, Beijing University of Chemical Technology, Beijing
[3] State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an
来源：
Jixie Gongcheng Xuebao/Journal of Mechanical Engineering | 2019年 / 55卷 / 19期
关键词：
Blade tip-timing; Blade vibration; Signal reconstruction; TLS-Esprit; Under-sampled;
D O I：
10.3901/JME.2019.19.103
中图分类号：
学科分类号：
摘要：
Considering the traditional strain test method cannot measure all the blades vibration information at the same time and it may also bring some hidden danger for the normal operation of the rotating blade, blade tip-timing (BTT) technique is used to monitor the vibrating blades. However, as BTT method can just obtain under-sampled signal and the sampled signal will also be interfered by noise in practice, traditional Fourier transform is not enough for the extraction of blades original vibration frequency. Therefore, the rotational invariance technique (Esprit) with total least squares (TLS) principle is studied to estimate the original frequency information from the under-sampled signal with strong noise interference. The estimated frequency information will be further used as priori knowledge for the tip-timing signal reconstruction with interpolation function. Both simulation and experiment signal are used to verify the effectiveness of the proposed method, and the result shows the proposed method is useful for the frequency analysis of under-sampled BTT signal with noise interference demonstrating its great value in engineering application. © 2019 Journal of Mechanical Engineering.
引用
收藏
页码：103 / 111
页数：8
相关论文
共 23 条
  • [1] Fleeting R., Coats R., Blade failures in the HP turbines of RMS Queen Elizabeth and their rectification, Institute of Marine Engineers Transactions, 82, pp. 49-74, (1970)
  • [2] Ghoshal A., Sundaresan M., Schulz M., Et al., Structural health monitoring techniques for wind turbine blades, Journal of Wind Engineering and Industrial Aerodynamics, 85, pp. 309-324, (2000)
  • [3] Roy N., Ganguli R., Helicopter rotor blade frequency evolution with damage growth and signal processing, Journal of Sound and Vibration, 283, pp. 821-851, (2005)
  • [4] Knappett D., Garcia J., Blade tip timing and strain gauge correlation on compressor blades, Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering, 222, 4, pp. 497-506, (2008)
  • [5] Battiato G., Firrone C.M., Berruti T.M., Forced response of rotating bladed disks: Blade tip-timing measurements, Mechanical Systems and Signal Processing, 85, pp. 912-926, (2017)
  • [6] Guru S.S., Shylaja S., Kumar S., Et al., Pre-emptive rotor blade damage identification by blade tip timing method, Journal of Engineering for Gas Turbines and Power, 136, (2014)
  • [7] Bendali S., Joseph L., Marc B., Et al., Modal parameter identification of mistuned laded disks using tip timing data, Journal of Sound and Vibration, 314, pp. 885-906, (2008)
  • [8] Wang W., Ren S., Chen L., Et al., The blade vibration measurement research based on the key phase interpolation method, Journal of Vibration & Diagnosis, 37, 2, pp. 361-365, (2017)
  • [9] Ouyang T., Duan F., Li M., Et al., A method for identifying rotating blade asynchronous vibration by all-phase fft, Journal of Vibration Engineering, 24, 3, pp. 268-273, (2011)
  • [10] Ouyang T., Guo W., Duan F., Et al., New method for identifying rotating blades synchronous vibration based on tip-timing, Journal of Vibration and Shock, 30, 8, pp. 249-257, (2011)
123