Vibration features and diagnosis methods for rotor blade fracture in a gas turbine’s compressor

DANG Wei1,HU Minghui1,JIANG Zhinong1,FENG Kun2

Journal of Vibration and Shock ›› 2021, Vol. 40 ›› Issue (10) : 7-19.

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PDF(2638 KB)
Journal of Vibration and Shock ›› 2021, Vol. 40 ›› Issue (10) : 7-19.

Vibration features and diagnosis methods for rotor blade fracture in a gas turbine’s compressor

  • DANG Wei1,HU Minghui1,JIANG Zhinong1,FENG Kun2
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Abstract

Rotor blade fracture is one of the main failure modes of gas turbines.It is of great significance to study the vibration features and diagnosis methods for the blade fracture failure to ensure the safe and reliable operation of gas turbines.The transmission path of the blade vibration response and the variation law of the wake excitation force were studied based on the generation mechanism of blade wake excitation force.A vibration response model for stator blades was established in order to derive the variation of the rotor blade vibration response after blade fracture failure.Then according to the response features of blade passing frequency and fundamental frequency components, a fault identification method for blade fracture was proposed based on an improved heuristic segmentation algorithm(IHSA), which can realize the fault type judgment and timely warning of blade fracture.Furthermore, the identification factor γ for estimating the blade fracture position was introduced according to the features of vibration responses and the principle of actual gas turbine’s operation and control.The identification of fracture position was realized by comparing the γ values of blades at different stages of the same rotor.Finally, a fault diagnosis method for blade fracture in a gas turbine’s compressor was proposed combining the above mentioned fault identification method and fracture location estimation method.The effectiveness of the vibration features and the diagnosis method in engineering application was verified by analyzing a gas turbine fault case.

Key words

gas turbine / blade fracture / fault diagnosis / blade passing frequency / heuristic segmentation algorithm(IHSA)

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DANG Wei1,HU Minghui1,JIANG Zhinong1,FENG Kun2. Vibration features and diagnosis methods for rotor blade fracture in a gas turbine’s compressor[J]. Journal of Vibration and Shock, 2021, 40(10): 7-19

References

[1]彭彤宇.振动监测在燃气轮机叶片故障诊断中的应用[J].华电技术,2014,36(12): 40-42.
PENG Tongyu.Application of vibration monitoring in fault diagnosis of gas turbine blades[J].Huadian Technology, 2014,36(12): 40-42.
[2]洪杰, 栗天壤, 王永锋, 等.叶片丢失激励下航空发动机柔性转子系统的动力学响应[J].航空动力学报,2018,33(2): 257-264.
HONG Jie, LI Tianrang, WANG Yongfeng, et al.Dynamic response of the aero-engine flexible rotor system under the blade-off[J].Journal of Aerospace Power, 2018,33(2): 257-264.
[3]马艳红,梁智超,王桂华,等.航空发动机叶片丢失问题研究综述[J].航空动力学报,2016,31(3): 513-526.
MA Yanhong, LIANG Zhichao, WANG Guihua, et al.Review on the blade loss of aero-engine[J].Journal of Aerospace Power, 2016,31(3): 513-526.
[4]MASOUD A A, SAID S A L.A new algorithm for crack localization in a rotating timoshenko beam[J].Journal of Vibration & Control, 2009,15(10): 220-225.
[5]LOUTRIDIS S, DOUKA E, HADJILEONTIADIS L J.Forced vibration behaviour and crack detection of cracked beams using instantaneous frequency[J].NDT & E International, 2005,38(5): 411-419.
[6]王艾伦,黄飞.裂纹叶片分布对失谐叶盘结构振动特性的影响[J].振动与冲击,2011,30(4): 26-28.
WANG Ailun, HUANG Fei.Effect of cracked blade distribution on vibration characteristics of a mistuned blade disk[J].Journal of Vibration and Shock, 2011,30(4): 26-28.
[7]王帅,訾艳阳,何正嘉.含裂纹离心压缩机叶轮结构的振动局部化[J].振动与冲击,2017,36(6): 108-113.
WANG Shuai, ZI Yanyang, HE Zhengjia.Vibration localization of cracked impellers of centrifugal compressors[J].Journal of Vibration and Shock, 2017,36(6): 108-113.
[8]FORBES G L, RANDALL R B.Estimation of turbine blade natural frequencies from casing pressure and vibration measurements[J].Mechanical Systems & Signal Processing, 2013,36(2): 549-561.
[9]HAN Q L, XING W T, LI W H, et al.Experimental modal analysis of blades in different media[J].Acta Energiae Solaris Sinica, 2019,40(1): 285-290.
[10]MENG H L, LEONG M S.Improved blade fault diagnosis using discrete blade passing energy packet and rotor dynamics wavelet analysis[C]// ASME Turbo Expo: Power for Land, Sea & Air.Glasgow: ASME, 2010.
[11]赵新光,甘晓晔,谷泉, 等.基于小波能谱系数的风力机疲劳裂纹特征[J].振动、测试与诊断,2014,34(1): 147-152.
ZHAO Xinguang, GAN Xiaoye, GU Quan, et al.Crack fault feature of wind turbine blade based on wavelet energy spectrum coefficient[J].Journal of Vibration, Measurement & Diagnosis, 2014,34(1): 147-152.
[12]黎少辉,蔡利梅.基于气动信号分析的风机叶片裂纹故障识别[J].振动与冲击,2017,36(19): 227-231.
LI Shaohui, CAI Limei.Fan blade crack fault diagnosis based on the analysis of pneumatic signals[J].Journal of Vibration and Shock, 2017,36(19): 227-231.
[13]GUBRAN A A, SINHA J K.Shaft instantaneous angular speed for blade vibration in rotating machine[J].Mechanical Systems & Signal Processing, 2014,44(1/2): 47-59.
[14]闫晓军.典型航空发动机结构对比与分析[M].北京: 北京航空航天大学出版社,2011.
[15]洪杰, 郝勇, 张博, 等.叶片丢失激励下整机力学行为及其动力特性[J].航空发动机,2014,40(2): 19-23.
HONG Jie, HAO Yong, ZHANG Bo, et al.Mechanical behaviors and dynamic characteristics of turbofan engine due to fan blade off[J].Aeroengine, 2014,40(2): 19-23.
[16]封国林,龚志强,董文杰, 等.基于启发式分割算法的气候突变检测研究[J].物理学报,2005,54(11): 5494-5499.
FENG Guolin, GONG Zhiqiang, DONG Wenjie, et al.Abrupt climate change detection based on heuristic segmentation algorithm[J].Acta Physics Sinica, 2005,54(11): 5494-5499.
[17]盛兆顺, 尹琦岭.设备状态监测与故障诊断技术及应用[M].北京: 化学工业出版社,2003.
[18]陈予恕,张华彪.航空发动机整机动力学研究进展与展望[J].航空学报,2011,32(8): 1371-1391.
CHEN Yushu, ZHANG Huabiao.Review and prospect on the research of dynamics of complete aero-engine systems[J].Acta Aeronautica et Astronautica Sinica, 2011,32(8): 1371-1391.
[19]邱睿,郝艳华.尾流激振情况下叶片振动应力预估方法[J].华侨大学学报(自然科学版),2009,30(5): 492-495.
QIU Rui, HAO Yanhua.Method to predict the blade vibration stress induced by wake influence[J].Journal of Huaqiao University(Natural Science), 2009,30(5): 492-495.
[20]刘尚明,何皑,蒋洪德.重型燃气轮机控制发展趋势及未来关键技术[J].热力透平,2013,42(4): 217-224.
LIU Shangming, HE Kai, JIANG Hongde.Development trend of heavy-duty gas turbine control technology[J].Thermal Turbine, 2013,42(4): 217-224.
[21]侯戈.四海一心 美国LM2500舰用燃气轮机技术解析[J].现代兵器,2009(1): 27-36.
HOU Ge.Four sea one heart-technology analysis of US LM2500 marine gas turbine[J].Modern Weaponry, 2009(1): 27-36.
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