留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码

基于非接触测量的高速转子叶片裂纹故障监测

张松林 乔百杰 王亚南 梁俊 耿卫民 刘美茹 文璧 陈雪峰

张松林, 乔百杰, 王亚南, 等. 基于非接触测量的高速转子叶片裂纹故障监测[J]. 航空动力学报, 2025, 40(12):20240726 doi: 10.13224/j.cnki.jasp.20240726
引用本文: 张松林, 乔百杰, 王亚南, 等. 基于非接触测量的高速转子叶片裂纹故障监测[J]. 航空动力学报, 2025, 40(12):20240726 doi: 10.13224/j.cnki.jasp.20240726
ZHANG Songlin, QIAO Baijie, WANG Yanan, et al. Crack fault monitoring of high-speed rotor blades based on non-contact measurement[J]. Journal of Aerospace Power, 2025, 40(12):20240726 doi: 10.13224/j.cnki.jasp.20240726
Citation: ZHANG Songlin, QIAO Baijie, WANG Yanan, et al. Crack fault monitoring of high-speed rotor blades based on non-contact measurement[J]. Journal of Aerospace Power, 2025, 40(12):20240726 doi: 10.13224/j.cnki.jasp.20240726

基于非接触测量的高速转子叶片裂纹故障监测

doi: 10.13224/j.cnki.jasp.20240726
基金项目: 国家自然科学基金(52475130,52305127)
详细信息
    作者简介:

    张松林(1998-),男,博士生,主要从事航空发动机叶片振动叶尖定时监测研究。E-mail:slz1106@stu.xjtu.edu.cn

    通讯作者:

    乔百杰(1985-),男,教授、博士生导师,博士,主要从事航空发动机叶片健康监测研究。E-mail:qiao1224@xjtu.edu.cn

  • 中图分类号: V231.92

Crack fault monitoring of high-speed rotor blades based on non-contact measurement

  • 摘要:

    针对高速转子叶片裂纹监测需求,研究基于非接触式测量的高速转子叶片叶尖定时测量技术,提出了一种基于压缩感知的叶尖定时欠采样信号重构方法。基于叶片动频的时频稀疏特征,改进欠采样信号模型,并采用自适应分块正交匹配追踪方法对模型进行求解,以监测叶片在变转速工况下叶片动频随转速的变化规律。开展高速转子叶片高周疲劳试验,同时测量叶片动应变与叶尖振动信号,比较不同转速下正常叶片与裂纹叶片振动信号的时频特征,裂纹的存在会导致叶片振动频率的偏移,通过频移的变化能够实现对裂纹的早期诊断。当叶片出现裂纹时,动频降低了24.5 Hz,所提出的监测方法与应变片辨识结果对比动频误差均小于0.50%,该方法具有较高的信号重构精度和裂纹识别率,为旋转叶片的健康状态监测和早期故障诊断提供有效的解决方案。

     

  • 图 1  叶尖定时测量原理示意图

    Figure 1.  Schematic diagram of blade tip timing measurement principle

    图 2  自适应分块正交匹配追踪重构算法流程图

    Figure 2.  Flowchart of the adaptive block orthogonal matching pursuit reconstruction algorithm.

    图 3  试验叶盘模型与1阶模态位移振型

    Figure 3.  Blade disk model and first order mode shape displacement

    图 4  试验叶盘叶片坎贝尔图

    Figure 4.  Campbell diagram of the blade disk blades

    图 5  高速旋转试验传感器布置

    Figure 5.  Sensor arrangement for high-speed rotating tests

    图 6  叶片振动台疲劳试验与裂纹叶片

    Figure 6.  Blade vibration bench fatigue test and cracked blade

    图 7  2号叶片实验数据

    Figure 7.  Experimental data of blade No.2

    图 8  无裂纹试验叶尖定时数据和应变片数据处理结果

    Figure 8.  Processed results of blade tip timing data and strain gauge data for the crack-free test

    图 9  有裂纹叶盘各叶片分析结果

    Figure 9.  Analysis results of each blade in the cracked blade disk

    图 10  裂纹前后2号叶片时频图

    Figure 10.  Time-frequency maps of blade No.2 before and after cracking

    图 11  有裂纹叶盘2号叶片与其他叶片时频结果对比

    Figure 11.  Comparison of time-frequency results between cracked blade No.2 and other blades

    表  1  无裂纹叶片叶尖定时同步振动频率辨识结果

    Table  1.   Identification results of synchronized vibration frequencies for crack-free blade tip timing

    方法动频/Hz平均误差/%
    1号叶片2号叶片3号叶片4号叶片5号叶片
    应变片686.4659.2691.2688.0680.0
    ABOMP683.0659.4692.2688.2681.1
    辨识误差/%0.490.030.140.030.160.17
    下载: 导出CSV

    表  2  无裂纹叶盘和有裂纹叶盘叶尖定时数据分析结果对比

    Table  2.   Comparison of blade tip timing data analysis results between crack-free and cracked blade disks

    参数 1号叶片 2号叶片 3号叶片 4号叶片 5号叶片
    叶盘各叶片动频/Hz 无裂纹 683.0 659.4 692.2 688.2 681.1
    有裂纹 682.9 624.9 691.9 685.5 682.2
    变化量/Hz −0.1 24.5 −0.3 −2.7 1.1
    变化幅度/% 0.01 3.72 0.04 0.39 0.16
    下载: 导出CSV
  • [1] CHEN Zhongsheng, SHENG Hao, XIA Yemei, et al. A comprehensive review on blade tip timing-based health monitoring: status and future[J]. Mechanical Systems and Signal Processing, 2021, 149: 107330. doi: 10.1016/j.ymssp.2020.107330
    [2] WEI Daitong, LI Hongkun, GAO Peixin, et al. Mistuning identification and model updating approach for bladed disks based on blade tip timing[J]. Journal of Sound Vibration, 2023, 567: 117958. doi: 10.1016/j.jsv.2023.117958
    [3] 蒙一鸣, 肖志成, 欧阳华. 叶尖定时测量误差的高精度实验分析与修正[J]. 航空动力学报, 2024, 39(7): 20220475. MENG Yiming, XIAO Zhicheng, OUYANG Hua. High-accuracy experimental analysis and correction of blade tip timing measurement error[J]. Journal of Aerospace Power, 2024, 39(7): 20220475. (in Chinese

    MENG Yiming, XIAO Zhicheng, OUYANG Hua. High-accuracy experimental analysis and correction of blade tip timing measurement error[J]. Journal of Aerospace Power, 2024, 39(7): 20220475. (in Chinese)
    [4] ZHOU Kai, WANG Yanan, QIAO Baijie, et al. Single-sensor-based dynamic response reconstruction of blades under base excitation[J]. Mechanical Systems and Signal Processing, 2023, 192: 110217. doi: 10.1016/j.ymssp.2023.110217
    [5] 朱昱达, 乔百杰, 符顺国, 等. 基于响应传递比的转子叶片动应变反演重构[J]. 航空动力学报, 2021, 36(8): 1690-1701. ZHU Yuda, QIAO Baijie, FU Shunguo, et al. Dynamic strain reconstruction of rotating blade based on response transmissibility[J]. Journal of Aerospace Power, 2021, 36(8): 1690-1701. (in Chinese

    ZHU Yuda, QIAO Baijie, FU Shunguo, et al. Dynamic strain reconstruction of rotating blade based on response transmissibility[J]. Journal of Aerospace Power, 2021, 36(8): 1690-1701. (in Chinese)
    [6] 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): 028516. WANG Weimin, HU Dongfang. Review on non-contact dynamic stress measurement methods of rotating blades[J]. Acta Aeronautica et Astronautica Sinica, 2023, 44(22): 028516. (in Chinese

    WANG Weimin, HU Dongfang. Review on non-contact dynamic stress measurement methods of rotating blades[J]. Acta Aeronautica et Astronautica Sinica, 2023, 44(22): 028516. (in Chinese)
    [7] XU Jinghui, QIAO Baijie, WANG Yanan, et al. A recursive calculation method of vibration displacements using blade tip timing in angular domain[J]. Mechanical Systems and Signal Processing, 2024, 219: 111612. doi: 10.1016/j.ymssp.2024.111612
    [8] 欧阳涛, 郭文力, 段发阶, 等. 基于叶尖定时的旋转叶片同步振动辨识新方法[J]. 振动与冲击, 2011, 30(8): 249-252, 257. OUYANG Tao, GUO Wenli, DUAN Fajie, et al. New method for identifying rotating blades synchronous vibration based on tip-timing[J]. Journal of Vibration and Shock, 2011, 30(8): 249-252, 257. (in Chinese

    OUYANG Tao, GUO Wenli, DUAN Fajie, et al. New method for identifying rotating blades synchronous vibration based on tip-timing[J]. Journal of Vibration and Shock, 2011, 30(8): 249-252, 257. (in Chinese)
    [9] LI Hongkun, FAN Zhenfang, DONG Jiannan, et al. An improved blade vibration difference-based two-parameter plot method for synchronous vibration parameter identification of rotating blades[J]. Measurement, 2023, 207: 112397. doi: 10.1016/j.measurement.2022.112397
    [10] 陈雷, 乔百杰, 敖春燕, 等. 基于叶端定时的转子叶片动应变重构不确定性量化[J]. 航空动力学报, 2022, 37(7): 1456-1468. CHEN Lei, QIAO Baijie, AO Chunyan, et al. Uncertainty quantification of rotor blade dynamic strain reconstruction based on blade tip timing[J]. Journal of Aerospace Power, 2022, 37(7): 1456-1468. (in Chinese

    CHEN Lei, QIAO Baijie, AO Chunyan, et al. Uncertainty quantification of rotor blade dynamic strain reconstruction based on blade tip timing[J]. Journal of Aerospace Power, 2022, 37(7): 1456-1468. (in Chinese)
    [11] LIN Jun, HU Zheng, CHEN Zhongsheng, et al. Sparse reconstruction of blade tip-timing signals for multi-mode blade vibration monitoring[J]. Mechanical Systems and Signal Processing, 2016, 81: 250-258. doi: 10.1016/j.ymssp.2016.03.020
    [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. LIANG Daosen, PAN Yuncan, ZHANG Yuhan, et al. Multi-modal vibration tip timing signal reconstruction method for blisk based on compressed sensing[J]. Journal of Propulsion Technology, 2021, 42(11): 2578-2589. (in Chinese

    LIANG Daosen, PAN Yuncan, ZHANG Yuhan, et al. Multi-modal vibration tip timing signal reconstruction method for blisk based on compressed sensing[J]. Journal of Propulsion Technology, 2021, 42(11): 2578-2589. (in Chinese)
    [13] 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. XU Hailong, YANG Yongmin, HU Haifeng, et al. Compressed sensing-based blind reconstruction of multi-frequency Blade vibration from under-sampled BTT Signals[J]. Chinese Journal of Mechanical Engineering, 2019, 55(13): 113-121. (in Chinese doi: 10.3901/JME.2019.13.113

    XU Hailong, YANG Yongmin, HU Haifeng, et al. Compressed sensing-based blind reconstruction of multi-frequency Blade vibration from under-sampled BTT Signals[J]. Chinese Journal of Mechanical Engineering, 2019, 55(13): 113-121. (in Chinese) doi: 10.3901/JME.2019.13.113
    [14] XU Jinghui, QIAO Baijie, LIU Junjiang, et al. Sparse reconstruction for blade tip timing signal using generalized minimax-concave penalty[J]. Mechanical Systems and Signal Processing, 2021, 161: 107961. doi: 10.1016/j.ymssp.2021.107961
    [15] WU Shuming, ZHAO Zhibin, YANG Zhibo, et al. Physical constraints fused equiangular tight frame method for blade tip timing sensor arrangement[J]. Measurement, 2019, 145: 841-851. doi: 10.1016/j.measurement.2019.05.107
    [16] HASHEMI A, VIKALO H. Accelerated orthogonal least-squares for large-scale sparse reconstruction[J]. Digital Signal Processing, 2018, 82: 91-105. doi: 10.1016/j.dsp.2018.07.010
    [17] 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. WU Shuming, HU Haifeng, ZHAO Zhibin, et al. Enhancing sparse decomposition based blade vibration parameter identification[J]. Chinese Journal of Mechanical Engineering, 2019, 55(19): 19-27. (in Chinese doi: 10.3901/JME.2019.19.019

    WU Shuming, HU Haifeng, ZHAO Zhibin, et al. Enhancing sparse decomposition based blade vibration parameter identification[J]. Chinese Journal of Mechanical Engineering, 2019, 55(19): 19-27. (in Chinese) doi: 10.3901/JME.2019.19.019
    [18] MALLAT S G, ZHANG Zhifeng. Matching pursuits with time-frequency dictionaries[J]. IEEE Transactions on Signal Processing, 1993, 41(12): 3397-3415. doi: 10.1109/78.258082
    [19] TROPP J A, GILBERT A C. Signal recovery from random measurements via orthogonal matching pursuit[J]. IEEE Transactions on Information Theory, 2007, 53(12): 4655-4666. doi: 10.1109/TIT.2007.909108
    [20] LU Dongxue, SUN Guiling, LI Zhouzhou, et al. Improved CoSaMP reconstruction algorithm based on residual update[J]. Journal of Computer and Communications, 2019, 7(6): 6-14. doi: 10.4236/jcc.2019.76002
    [21] DONG Jiannan, LI Hongkun, FAN Zhenfang, et al. Characteristics analysis of blade tip timing signals in synchronous resonance and frequency recovery based on subspace pursuit algorithm[J]. Mechanical Systems and Signal Processing, 2023, 183: 109632. doi: 10.1016/j.ymssp.2022.109632
    [22] MA Hui, XIE Fangtao, NAI Haiqiang, et al. Vibration characteristics analysis of rotating shrouded blades with impacts[J]. Journal of Sound and Vibration, 2016, 378: 92-108. doi: 10.1016/j.jsv.2016.05.038
    [23] BEDIZ B, ROMERO L A, OZDOGANLAR O B. Three dimensional dynamics of rotating structures under mixed boundary conditions[J]. Journal of Sound and Vibration, 2015, 358: 176-191. doi: 10.1016/j.jsv.2015.08.015
  • 加载中
图(11) / 表(2)
计量
  • 文章访问数:  735
  • HTML浏览量:  386
  • PDF量:  72
  • 被引次数: 0
出版历程
  • 收稿日期:  2024-10-23
  • 网络出版日期:  2024-12-31

目录

    /

    返回文章
    返回