Vibration Analysis of Rotor System by Combined Adaptive Time-Frequency Analysis and Independent Component Analysis

Abstract:

Traditional time-frequency analysis methods such as short-time Fourier transform (STFT) and Wigner-Ville distribution (WVD) cannot always work effectively for the complex rotor systems where the multiple faults are involved. A noise cancellation method for the rotor faults detection is proposed in this paper by combining the independent component analysis (ICA) scheme and the adaptive time-frequency analysis (ATFA) approach. In the proposed method, the raw picked data are first separated into different independent components (ICs) via the ICA according to the different vibration sources. Then the ICs are processed by the ATFA to obtain a clear vibration character for the fault diagnosis. Experiments on a rotor system with hybrid fault of the rotor imbalance and the bolt looseness are introduced to verify the feasibility and validity of the proposed scheme.

• Periodical: Key Engineering Materials (Volumes 474-476)
• Pages: 1406-1411
• DOI: https://doi.org/10.4028/www.scientific.net/KEM.474-476.1406
• Online since: April 2011
• Authors: Bin Li, Yu Guo, Yan Chun Ding, Ting Wei Liu, Jing Na, Yan Gao
• Keywords: Adaptive Time-Frequency Analysis, Fault Diagnosis, Independent Component Analysis (ICA), Rotor

References

[1] Shie. Qian: Introduction to Time-Frequency and Wavelet Transforms, China Machine Press, Bei Jing (2006).

[2] Shengchun. Wang, Jie. Han and Zhinong. Li: Adaptive harmonic wavelet packet transform and its application to machine fault diagnosis, Trans. Chin. Soc. Agricult. Mach., Vol. 38(2007), p.174.

[3] Ling. Xiang, Guiji. Tang and Aijun. Hu: Comparison on time-frequency analysis for nonstationary rotating machinery vibration signal, J. Vibr. Shock, Vol. 29(2010), p.42.

[4] A. Hyvrainen, J. Karhunen and E. Oja: Independent Component Analysis, John WILEY & Sons, Inc, Finland (2001).

[5] Yongsheng. Fan: Mechanical equipment diagnosis method of modern signal processing, National Defense Industry Press, Bei Jing (2009).

[6] A. Hyvrainen: Fast and robust fixed-point algorithms for independent component analysis, IEEE Trans. Neural Netw., Vol. 10(1999), p.626.

DOI: 10.1109/72.761722

[7] Chang. Shu: Adaptive time-frequency analysis and its application to signal processing of flutter test, Northwetern Polytechnical University, shanxi (2004).

[8] Jianping. Jing and Guang. Meng: A new method for multi-faults diagnosis of a rotor system, J. Vibr. Eng., Vol. 17(2004), p.350.