1550. Characteristic analysis on the rubbing of rotor blade‑casing of aero‑engine based on Hilbert transform

Mingyue Yu1, Feng Tian2

Shenyang Aerospace University, Shenyang, China

1Corresponding author

E-mail: 1yumingyue211@163.com, 2tianfeng5861@163.com

(Received 13 November 2014; received in revised form 24 December 2014; accepted 13 January 2015)

Abstract. A characteristic analytical method for the rubbing of aero-engine rotor blade‑casing based on Hilbert Transform is proposed. The rotor experiment rig of aero-engine was used to simulate rubbing faults including single-point rub and local rub in the conditions of different casing thickness, different rubbing intensities, different rotational speeds and different rubbing positions. The casing acceleration signal was collected and subjected to the analysis by Hilbert envelope spectrum, and the result was compared with traditional spectrum analysis. The result indicates that the Hilbert envelope spectrum can effectively monitor the aero-engine running state in low frequency, and the method is more insensitive in sensor position, rotational speed, casing thickness and rubbing position. But the spectrum cannot efficiently monitor the aero‑engine running state in low frequency.

Keywords: aero-engine, casing, rub, Hilbert transform, low frequency.


[1]        Tian Yong-Wei, Yang Jian-Gang Analysis on coupled vibration of rotating machinery in case of rotor to stator rub. Journal of Mechanical Engineering, Vol. 46, Issue 7, 2010, p. 102‑107.

[2]        Li Chao-Feng, Li He, Ma Hui, et al. Bifurcation and stability of the flexible rotor-bearing system with rub-impact by a continuum model. Journal of Mechanical Engineering, Vol. 46, Issue 11, 2010, p. 107‑113.

[3]        Ma Hui, Yang Jian, Song Rong-Ze, et al. Review and prospect on the research of rub-impact experiment of rotor systems. Journal of Vibration and Shock, Vol. 33, Issue 6, 2014, p. 1‑12.

[4]        Chen Guo, Li Cheng-Gang, Wang De-You Rotor-stator rubbing fault diagnosis knowledge acquisition using rule extraction from neural networks. Acta Aeronautica et Astronautica Sinica, Vol. 29, Issue 5, 2008, p. 1319‑1325.

[5]        Yu Ming-Yue, Chen Guo, Liu Yong-Quan, et al. Aero-engine rotor-stator rubbing position identification based on casing strain signals. Acta Aeronautica et Astronautica Sinica, Vol. 34, Issue 6, 2013, p. 1474‑1484.

[6]        Hongliang Yao, Qingkai Han, Lingxun Li, et al. Detection of rubbing location in rotor system by super-harmonic responses. Journal of Mechanical Science and Technology, Vol. 26, Issue 8, 2012, p. 2341‑2437.

[7]        Li Yun-Gong, Zhang Hua-Biao Signature extracting method of the fault of rubbing rotor based on measured impulse response. Chinese Journal of Mechanical Engineering, Vol. 43, Issue 4, 2007, p. 224‑228.

[8]        Chen Guo, Liu Yong-Quan, Jiang Guang-Yi, et al. A novel method for identifying rotor-stator rubbing positions using the cepstrum analysis technique. Journal of Mechanical Science and Technology, Vol. 28, Issue 9, 2014, p. 3537‑3544.

[9]        Yu Ming-Yue, Chen Guo, Li Cheng-Gang, et al. Rotor-stator rubbing positions identification of aero-engine based on wavelet packet analysis and support vector machine. Journal of Aerospace Power, Vol. 28, Issue 1, 2013, p. 46‑53.

[10]     Chen Go, Feng Go-Quan, Jiang Guang-Yi, et al. Characteristic analysis and verification of casing vibration acceleration for aero-engine blade-casing rubbing fault. Aero Engine, Vol. 40, Issue 1, 2014, p. 10‑16.

[11]     Zhang Shuai, Yang Yong, Han Qing-Kai, et al. Experimental study on a rotor system with rub‑impact at fix limiter based on HHT. Journal of Vibration and Shock, Vol. 29, Issue 7, 2010, p. 121‑125.

[12]     Lei Ya-Guo Machinery fault diagnosis based on improved Hilbert-Huang transform. Journal of Mechanical Engineering, 2011, Vol. 47, Issue 5, p. 71‑77.

Cite this article

Yu Mingyue, Tian Feng Characteristic analysis on the rubbing of rotor blade‑casing of aero‑engine based on Hilbert transform. Journal of Vibroengineering, Vol. 17, Issue 2, 2015, p. 733‑742.


JVE International Ltd. Journal of Vibroengineering. Mar 2015, Volume 17, Issue 2. ISSN 1392-8716