基于叶端定时的航空发动机压气机叶片裂纹识别

  • 张赟 ,
  • 刘晨光 ,
  • 张宇坤 ,
  • 李朋
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  • 1. 海军航空工程学院飞行器工程系飞行器动力工程教研室
    2. 中国人民解放军海军航空大学
    3. 海军航空大学青岛校区

收稿日期: 2025-01-20

  修回日期: 2025-02-26

  网络出版日期: 2025-02-28

基金资助

军队高层次科技创新人才工程计划

Crack Identification of Aeronautical Engine Compressor Blades Based on Blade Tip Timing

  • ZHANG Bin ,
  • LIU Chen-Guang ,
  • ZHANG Yu-Kun ,
  • LI Peng
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Received date: 2025-01-20

  Revised date: 2025-02-26

  Online published: 2025-02-28

摘要

叶端定时方法能够以非接触测振的方式实现旋转叶片裂纹在线实时监测,欠采样叶端定时信号的重构是其核心问题之一。本文将聚类收缩正交匹配追踪(CS-OMP)算法引入叶端定时欠采样振动重构,建立了一种基于CS-OMP算法的航空发动机压气机叶片欠采样振动重构方法,以提高叶片振动信号重构的精度及实时性,并通过监测压气机旋转叶片一阶动频变化实现叶片裂纹识别。采用仿真分析验证了该方法能够准确辨识叶片单模态和多模态振动参数,进一步采用某型航空发动机压气机缩比试验件开展叶片裂纹识别实验,结果表明该方法对叶片振动的重构效果优于传统OMP算法,能够实现叶片裂纹的准确识别。

本文引用格式

张赟 , 刘晨光 , 张宇坤 , 李朋 . 基于叶端定时的航空发动机压气机叶片裂纹识别[J]. 航空学报, 0 : 1 -0 . DOI: 10.7527/S1000-6893.2025.31823

Abstract

The blade tip timing (BTT) method facilitates non-contact vibration measurement for real-time online monitoring of rotating blade cracks. One of its primary challenges is the reconstruction of undersampled blade tip timing signals. This paper introduces the Cluster contraction Stage wise Orthogonal Matching Pursuit (CS-OMP) algorithm to address this issue, proposing a CS-OMP-based method for reconstructing undersampled vibration signals of compressor blades in aeroengines. The proposed method aims to improve the reconstruction accuracy and real-time performance of blade vibration signals. Additionally, it identifies blade cracks by detecting changes in the first-order modal frequen-cy of rotating compressor blades. The simulation analysis verified that this method can accurately identify the single-modal and multi-modal vibration parameters of blades. Furthermore, blade crack identification experiments were con-ducted using a scaled-down compressor test component of an aero-engine. The results demonstrated that this meth-od outperforms the traditional Orthogonal Matching Pursuit (OMP) algorithm in blade vibration reconstruction and achieves accurate identification of blade cracks.

参考文献

[1]MISHRA R K, THOMAS J, SRINIVASAN K, et al.Failure analysis of an un-cooled turbine blade in an aero gas turbine engine[J]. Engineering Failure Analysis, 2017, 79: 836-844.[J].Engineering Failure Analysis, 2017, 79(0):836-844
[2]许敬晖, 乔百杰, 刘美茹, 等.基于叶端定时的转子叶片裂纹监测与诊断[J].推进技术, 2022, 43(2):374-382
[3]WU S M, WANG Z K, LI H Q, et al.Blade crack de-tection using blade tip timing[J]. IEEE Transactions on Instrumentation and Measurement, 2021, 70: 1-13.[J].IEEE Transactions on Instrumentation and Measurement, 2021, 70(0):1-13
[4]HE W, DING Y, ZI Y, et al.Sparsity-based algorithm for detecting faults in rotating machines[J]. Mechanical Systems and Signal Processing, 2016, 72-73: 46-64.[J].Mechanical Systems and Signal Processing, 2016, 72-73: 46-64., 72(73):46-64
[5]张旭龙, 王维民, 李天晴, 等.变转速工况下叶尖计时信号趋势项解析及验证[J].航空学报, 2023, 44(5):310-323
[6]段发阶, 牛广越, 周琦, 等.航空发动机叶尖间隙在线测量技术研究综述[J].航空学报, 2022, 43(9):82-108
[7]ZENG J, CHEN K, MA H, et al.Vibration response analysis of a cracked rotating compressor blade during run-up process[J]. Mechanical Systems and Signal Pro-cessing, 2019, 118: 568-583.[J].Mechanical Systems and Signal Pro-cessing, 2019, 1(118):568-583
[8]WU S M, RUSSHARD P, YAN R Q, et al.An adaptive online blade health monitoring method: from raw data to parameters Identification[J].IEEE Transactions on Instrumentation and Measurement, 2020, 69(5):2581-2592
[9]吴淑明, 胡海峰, 赵志斌, 等.增强稀疏分解及其在叶片振动参数识别中的应用[J].机械工程学报, 2019, 55(19):19-27
[10]王维民, 陈子文, 张旭龙, 等.基于叶端定时的转子碰摩故障诊断方法[J].航空学报, 2022, 43(8):36-45
[11]许敬晖, 乔百杰, 滕光蓉, 等.基于压缩感知的叶端定时信号参数辨识方法[J].航空学报, 2021, 42(5):220-230
[12]梁道森, 潘云璨, 张誉瀚, 等.基于压缩感知的整体叶盘多模态振动叶尖定时信号重构方法[J].推进技术, 2021, 42(11):2578-2589
[13]MALLAT S G, ZHANG Z F.Matching pursuits with time-frequency dictionaries[J].IEEE Transactions on Signal Processing, 1993, 41(12):3397-3415
[14] PATI Y C, KRISHNAPRASAD P S.Orthogonal match-ing pursuit: recursive function approximation withap-plications to wavelet decomposition[C]//Conference on Signals, Systems & Computers. Pacific Grove: IEEE, 1993: 40-44.
[15]DONOHO D, TSAIG Y, DRORI I, et al.Sparse solu-tion of underdetermined systems of linear equations by stagewise orthogonal matching pursuit[J].IEEE Trans-actions on Information Theory, 2012, 58(2):1094-1121
[16]SONG L, YAN R.Bearing fault diagnosis based on Cluster-contraction Stage-wise Orthogonal-Matching-Pursuit[J]. Measurement, 2019, 140: 240-253.[J].Measurement, 2019, 0(140):240-253
[17]BOUCHAIN A, PICHERAL J, LAHALLE E, et al.Blade vibration study by spectral analysis of tip-timing signals with OMP algorithm[J]. Mechanical System-sand Signal Processing, 2019, 130: 108-121.[J].Mechanical Systems and Signal Processing, 2019, 130(0):108-121
[18]刘美茹, 郜伟强, 范毅, 等.叶尖定时技术在转子叶片故障排除中的应用[J].航空动力学报, 2022, 37(12):2818-2829
[19]张效溥, 田杰, 孙宗翰, 等.基于任意传感器排布的叶尖定时信号压缩感知辨识方法[J].航空动力学报, 2020, 35(1):41-51
[20]等.Mul-timode tip-timing analysis of steam turbine rotor blades[J].IEEE Sensors Journal, 2023, 23(11):11721-11728
[21]CAO J, YANG Z, ZHANG X, et al.Compressed covariance sensing for blade tip timing measurement[J]. Journal of Sound and Vibration, 2024, 579: 118376.[J].Journal of Sound and Vibration, 2024, 579: 118376., 579(0):118-376
[22]徐海龙, 杨拥民, 胡海峰, 等.基于压缩感知的叶端定时欠采样多频叶片振动盲重构研究[J].机械工程学报, 2019, 55(13):113-121
[23]LIN J, HU Z, CHEN Z-S, et al.Sparse reconstruction of blade tip-timing signals for multi-mode blade vibra-tion monitoring[J]. Mechanical Systems and Signal Processing, 2016, 81: 250-258.[J].Mechanical Systems and Signal Processing, 2016, 81(0):250-258
[24]王维民, 户东方.旋转叶片动应力非接触测量方法研究综述[J].航空学报, 2023, 44(22):74-91
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