Rotor Complex Fault Vibration Analysis Based on Frequency Heterodyne EMD Method

Article Preview

Abstract:

Rotor Complex Fault Vibration signals are very hard to analysis since there are many frequencies lies in them. It needs new signal processing methods to deal with these problems. Empirical Mode Decomposition (EMD) is a non-stationary signal processing method developed recently. The frequency heterodyne EMD method can improve the frequency resolution of EMD by shifting the original frequencies to enlarge the frequencies ratio between components. It proves that the method can enhance the performance of EMD easily and effectively. The paper discusses the principle and steps of this method in detail and uses it to analyse rotor complex fault signals. The result shows that frequency heterodyne EMD method can separate different faults and detect the weaker faults in complex fault more effectively than that of normal EMD method.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 199-200)

Pages:

845-849

Citation:

Online since:

February 2011

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2011 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] N E Huang, Z Shen, S R Long, et al. Proc. Roy. Soc. London A, Vol. 454 (1998), p.903–995.

Google Scholar

[2] Hongying Hu, Xiaojiang Ma. Acta Electronica Sinica, Vol. 33, No. 7 (2005), pp.1303-1306. (In Chinese).

Google Scholar

[3] P Flandrin, G Rilling and P Goncalves. IEEE Signal Processing Letters, Vol. 11, No. 2 (2004), p.112–114.

Google Scholar

[4] Hongying Hu, Xiaojiang Ma. Journal of Vibration and Shock, Vol. 25, No. 3 (2006), pp.38-40. (In Chinese).

Google Scholar

[5] Nan Bu, Naohiro Ueno and Osamu Fukuda. Proceedings of the 29th Annual International Conference of the IEEE EMBS. Lyon, France, (2007), pp.1362-1366.

Google Scholar

[6] Md. Khademul Islam Molla, Keikichi Hirose. IEEE Transactions on Audio, Speech, and Language Processing, Vol. 15, No. 3 ( 2007), pp.893-900.

Google Scholar

[7] Hongying Hu, Shengzhong Xiao, Fuliang Yin. Information-An International Interdisciplinary Journal, Vol. 12, No. 5 (2009), pp.1127-1135.

Google Scholar

[8] N. Senroy, S. Suryanarayanan. Proc. 2007 IEEE Power Engineering Society General Meeting, Tampa, FL, Jun. (2007).

Google Scholar

[9] Shengzhong Xiao, Hongying Hu. The 8th World Congress on Intelligent Control and Automation WCICA (2010), in press.

Google Scholar