Acoustic emission beamforming method for localizing rotor-stator rubbing fault

被引:0
作者
He, Tian [1 ]
Ye, Wu [1 ]
Yu, Haisheng [1 ]
Liu, Wenyang [1 ]
Liu, Xiandong [1 ]
机构
[1] School of Transportation Science and Engineering, Beijing University of Aeronautics and Astronautics, Beijing
来源
Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics | 2015年 / 41卷 / 12期
关键词
Acoustic emission (AE); Beamforming; Finite element; Localization; Rubbing;
D O I
10.13700/j.bh.1001-5965.2014.0828
中图分类号
学科分类号
摘要
One of the challenges restricted rubbing quantitative diagnosis is that vibration method cannot be effective applied to rubbing fault localization. Therefore, an acoustic emission (AE) beamforming array was presented to localize rotor-stator rubbing fault of rotating machinery. Firstly, finite element simulation model of rubbing AE was established based on mechanical model of rotor-stator rubbing and the structure of rotor test-bed, which can be used to simulate AE signals and study characteristics of simulating signals and AE wave propagation. Then rubbing localization performances of AE beamforming with typical arrays, such as line array, crossed array and circular array, were studied based on simulation AE signals and propagation characteristics of rubbing AE, and that the line array was the most appropriate for rubbing localization. Aiming to the shortage of line array, the improved sensor array and localization scheme were approached. Finally, the proposed localizing method of rubbing fault was verified by experiments. The results show that AE beamforming method can achieve accurate localization of rubbing fault by choosing the right sensor array and suitable sensor arrangement. © 2015, Beijing University of Aeronautics and Astronautics (BUAA). All right reserved.
引用
收藏
页码:2191 / 2197
页数:6
相关论文
共 15 条
[1]  
Ai Y.T., Fei C.W., Wang Z., A fault diagnosis method for aero-engine vibration based on fuzzy information entropy, Journal of Propulsion Technology, 32, 3, pp. 407-411, (2011)
[2]  
Zhang W.B., Tang G.J., Wang W.Z., Analysis and dealing with the rubbing between shaft/rotor and starts of large turbine-generator unit, Dongfang Dianqi Pinglun, 18, 4, pp. 231-234, (2004)
[3]  
Luo Y.G., Zhang S.H., Wen B.C., Study on complex nonlinear dynamics of rigid rotor bearing system, Journal of Vibration and Shock, 24, 3, pp. 43-46, (2005)
[4]  
Wang X., Tian Y.W., Wang J.P., Study on time-frequency analysis method of rub-impact fault for turbine unit based on Hilbert-Huang transform, Turbine Technology, 52, 2, pp. 133-136, (2010)
[5]  
Deng A.D., Bao Y.Q., Zhao L., Research on time delay estimation algorithm based on generalized cross correlation in acoustic emission source location, Proceedings of the CSEE, 29, 14, pp. 86-92, (2009)
[6]  
Chu F.L., Wang Q.Y., Lu W.X., Detection of the rub location in a rotor system with AE sensors and wavelet analysis, Chinese Journal of Mechanical Engineering, 38, 3, pp. 139-143, (2002)
[7]  
Hall L.D., Mba D., Acoustic emissions diagnosis of rotor-stator rubs using the KS statistic, Mechanical Systems and Signal Processing, 18, 4, pp. 849-868, (2004)
[8]  
Hall L.D., Mba D., Diagnosis of continuous rotor-stator rubbing in large scale turbine units using acoustic emissions, Ultrasonics, 41, 9, pp. 765-773, (2004)
[9]  
He T., Liu Y.G., Chen Y.N., Et al., Method for locating of rotor-stator based on acoustic emission beamforming, Journal of Aerospace Power, 26, 10, pp. 2207-2213, (2011)
[10]  
He T., Xiao D.H., Pan Q., Et al., Analysis on accuracy improvement of rotor-stator rubbing localization based on acoustic emission beamforming method, Ultrasonics, 54, 1, pp. 318-329, (2014)