大型轴流压气机叶片无键相振动监测与故障预警方法

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振动与冲击 ›› 2019, Vol. 38 ›› Issue (23) : 54-61.

论文

王维民1,2,张旭龙1,陈康2,户东方1,李维博2

作者信息 +

Vibration monitoring and fault pre-warning method for large axial compressor blades without OPR sensor

WANG Weimin1,2, ZHANG Xulong1, CHEN Kang2, HU Dongfang1, LI Weibo2

Author information +

文章历史 +

摘要

压气机运行过程中叶片承受复杂的交变载荷，容易产生高周疲劳故障，若不及时预警将会导致重大事故。为解决用叶尖定时法在叶片振动监测过程中键相传感器安装困难(如航空发动机等装备无键相传感器)或键相参考不准确的难题，提出了基于叶片失谐特性的无键相叶片振动监测方法，并在此基础上，对算法改进，提出了谐调叶片的无键相监测方法。通过模拟，对所提出的方法进行了验证，然后在某大型轴流压气机上进行了实验研究，分别利用有键相法与无键相法对监测数据进行分析，完成了叶片同步振动参数的辨识，分析结果表明所提出的无键相法可以准确识别叶片同步振动参数，有键相法和无键相法的叶片共振频率识别相对误差小于0.06%。该方法在大型轴流压气机叶片的振动监测与故障预警中是有效和可行的。

Abstract

During operation of a compressor, its blades bear complex alternating loads, they are easy to produce high-cycle fatigue faults.Here, in order to solve problem of the once per revolution (OPR) sensor being difficult to install using the blade tip timing (BTT) method in blade vibration monitoring process similar to aero-engine and other equipment without OPR one or the OPR’s reference is incorrect, a blade vibration monitoring method without OPR based on blade detuning characteristics was proposed.Then, its algorithm was improved to propose a monitoring method without OPR for tunable blades.The proposed method was verified through simulation.Tests were conducted on a large axial compressor, and test data were analyzed with the method with OPR and that without OPR, respectively to complete identification of blades’ synchronous vibration parameters.The analysis results showed that the proposed method can be used to identify blade synchronous vibration parameters correctly; the relative error of blade resonance frequency identification is less than 0.06%; the proposed method is effective and feasible in vibration monitoring and fault pre-warning for large axial compressor blades.

导出引用

王维民1,2,张旭龙1,陈康2,户东方1,李维博2. 大型轴流压气机叶片无键相振动监测与故障预警方法[J]. 振动与冲击, 2019, 38(23): 54-61

WANG Weimin1,2, ZHANG Xulong1, CHEN Kang2, HU Dongfang1, LI Weibo2. Vibration monitoring and fault pre-warning method for large axial compressor blades without OPR sensor[J]. Journal of Vibration and Shock, 2019, 38(23): 54-61

参考文献

[1] 胡安辉, 马康民. 某型航空发动机压气机四级转子叶片振动特性分析[J]. 失效分析与预防, 2006(04):10-12.
Hu Anhui, Ma Kang min. Investigation on Vibration Characteristics of 4th Compressor Blades in an Aero-Engine [J]. FAILURE ANALYSIS AND PREVENTION,2006(04):10-12.
[2] 杨文鑫,蔡增杰,陆锦斌,王彦芳.航空发动机叶片振动特性试验研究[J].装备环境工程, 2018, 15(02): 84-87.
Yang Wenxin, Cai Zengjie, Lu Jinbin, Wang Yanfang. Experimental Research on Vibration Characteristics of Aeroengine Blade [J]. Equipment Environmental Engineering, 2018,15(02):84-87.
[3] 杨兴宇,耿中行,蔡向晖,史海秋.某型发动机二级压气机叶片断裂故障分析研究[J].航空动力学报,2001(04):327-330.
Yang Xingyu, Geng Zhongxing, Cai Xianghui, Shi Haiqiu. Fracture Analysis of the 2nd Stage Compressor Blade in an Aeroengine [J]. JOURNAL OF AEROSPACE POWER, 2001 (04): 327-330.
[4] 吴育新, 曹小刚. 烟机叶片断裂原因分析及对策[J]. 石油化工设备, 2009, 38(3): 97-100.
Wu Yuxin, Cao Xiaogang. Analysis and Measures to the Fracture of Expander Blades [J]. PETRO-CHEMICAL EQUIPMENT, 2009, 38 (3): 97-100.
[5] Viswanathan R. An investigation of blade failures in combustion turbines[J]. Engineering Failure Analysis, 2001, 8(5): 493-511.
[6] Battiato G, Firrone C M, Berruti T M. Forced response of rotating bladed disks: Blade Tip-Timing measurements[J]. Mechanical Systems & Signal Processing, 2017, 85:912-926.
[7] 李春旺,武晓亮,柴桥,张忠平. 航空发动机压气机叶片振动疲劳裂纹扩展规律研究[J]. 应用力学学报, 2016, 33(03): 384-388+542.
Li Chunwang, Wu Xiaoliang, Chai Qiao, Zhang Zhongping. Study on vibration fatigue crack propagation of aero engine compressor blades [J]. Chinese Journal of Applied Mechanics, 2016,33 (03): 384-388+542.
[8] Hailong Xu,Zhongsheng Chen,Yongmin Yang,Limin Tao,Xuefeng Chen,Vadim V. Silberschmidt. Effects of Crack on Vibration Characteristics of Mistuned Rotated Blades[J]. Shock and Vibration,2017,2017.
[9] 张玉贵, 段发阶, 方志强, 欧阳涛, 叶声华. 间断相位法测量叶片同步振动幅值的研究[J]. 振动与冲击, 2008(10):183-186+201.
ZHANG Yugui， DUAN Fajie， FANG Zhiqiang， et al．
Measuring synchronous vibration of rotating blades using
discontinuous phase method[J]． Journal of Vibration and
Shock，2008，27( 10) : 183-186+201．
[10] Hajnayeb A, Nikpour M, Moradi S, et al. A New Reference Tip-Timing Test Bench and Simulator for Blade Synchronous and Asynchronous Vibrations[J]. Measurement Science & Technology, 2017, 29(2).
[11] Lin J, Hu Z, Chen Z S, et al. Sparse reconstruction of blade tip-timing signals for multi-mode blade vibration monitoring[J]. Mechanical Systems & Signal Processing, 2016, 81:250-258.
[12] Procházka P. Methods and Facilities for Calibration of Noncontact Blade Vibration Diagnostic Systems[J]. IEEE Transactions on Instrumentation & Measurement, 2018, PP(99):1-8.
[13] Z. Kubín,T. Mísek,J. Hlous,T. Dadaková,J. Kellner,T. Bachorec. Calibration of blade tip-timing sensor for shrouded 40″ last stage blade[J]. Mechanical Systems and Signal Processing,2018,108.
[14] 范博楠,张玉波,王海斗,徐滨士. 基于叶尖定时技术的叶轮叶片动态监测研究现状[J]. 振动与冲击, 2016, 35(05): 96-102.
Fan Bonan, Zhang Yubo, Wang Haidou, Xu Bin Shi. Research status for dynamic monitoring impellers' of blades based on blade tip-timing [J]. Journal of Vibration and Shock, 2016, 35 (05): 96-102.
[15] 王维民,任三群,陈立芳,邵化金.基于键相插值法的叶片振动测量研究[J].振动.测试与诊断,2017,37(02):361-365+409.
Wang Weimin, Ren three group, Chen Lifang, Shao Hua Jin. Research on blade vibration measurement based on key phase interpolation method [J]. Journal of Vibration，Measurement & Diagnosis, 2017,37 (02): 361-365+409.
[16] Haotian Guo,Fajie Duan,Jilong Zhang. Blade resonance parameter identification based on tip-timing method without the once-per revolution sensor[J]. Mechanical Systems and Signal Processing, 66 (2016): 625-639.
[17] S. Heath,M. Imregun. An improved single-parameter tip-timing method for turbomachinery blade vibration measurements using optical laser probes[J]. International Journal of Mechanical Sciences,38 (10) (1996) :1047–1058.
[18] S. Heath, A new technique for identifying synchronous resonances using tip-timing, J. Eng. Gas Turbines Power ASME 122 (2000) 219–224.
[19] Carrington, Ian B.Development of blade tip timing data analysis techniques[J].Journal of Dental Education, 2002, 47(2):947-951.
[20] Dimitriadis, G., Carrington, I. B., Wright, J. R., & Cooper, J. E., 2002, “Blade-Tip Timing Measurement of Synchronous Vibrations of Rotating Bladed Assemblies,” Mechanical Systems & Signal Processing, 16(4): 599-622.
[21] 欧阳涛,郭文力,段发阶,李孟麟.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(08):249-252.
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．
[22] Carrington, Ian B. Development of blade tip timing data analysis techniques[J]. Journal of Dental Education, 2002, 47(2):947-951.
[23] 王维民,任三群,陈立芳,黄山.涡轮机叶片同步振动参数辨识方法研究(建模仿真)[J]. 振动与冲击, 2017,36 (17): 120-126.
Wang Weimin, Ren three group, Chen Lifang, Mount Huangshan. Synchronous vibration parametric identification method for blades of a turbine[J]. Journal of Vibration and Shock, 2017, 36(17): 120-126.
[24] 王维民, 任三群, 陈立芳, 邵化金. 涡轮机叶片同步振动参数辨识方法研究(实验研究)[J]. 振动与冲击, 2017, 36(17): 127-133.
Wang Weimin, Ren three group, Chen Lifang, Shao Hua Jin. Tests for synchronous vibration parametric identification method of a turbine’s blades [J]. Journal of Vibration and Shock, 2017, 36 (17): 127-133.