Abstract
Classical time-frequency analysis methods can depict time-frequency structure of non-stationary signals. However, they may have a shortage in extracting the weak components with small amplitude hidden in complex signals, because their time-frequency representation coefficients are proportional to the amplitude or energy of a signal. In this paper, we present a new data analysis method, called nonlinear squeezing wavelet transform, to extract the weak feature of highly oscillating frequency modulation for rotor rub-impact fault. The time-frequency representation of the proposed method is independent of the signal amplitude and only relevant to the signal phase, thus it can be used to characterize the time-frequency pattern of non-stationary multi-component signals, especially for weak components detection. The experiments on simulated signals verify the effectiveness of the proposed method in weak signal detection. Finally, the validity of this method is demonstrated to extracting the feature on a real rotor system with weak rub-impact fault.
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References
Peng, Z., He, Y., Lu, Q., Chu, F.: Feature extraction of the rub-impact rotor system by means of wavelet analysis. J. Sound. Vib. 259, 1000–1010 (2003)
Wang, S., Chen, X., Li, G., Li, X., He, Z.: Matching demodulation transform with application to feature extraction of rotor rub-impact fault. IEEE Trans. Instrum. Meas. 63, 1372–1383 (2014)
Cheng, J., Yu, D., Tang, J., Yang, Y.: Local rub-impact fault diagnosis of the rotor systems based on EMD. Mech. Mach. Theory. 44, 784–791 (2009)
Cohen, L.: Time-Frequency Analysis Vol. 299. Prentice Hall, Englewood Cliffs (1995)
Huang, N.E., Liu, H.H., , et al.: The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis, Proc. R. Soc. Lond. A Math. Phys. Eng. Sci., vol. 454, pp. 903–995 1998
Mann, S., Haykin, S.: The chirplet transform: physical considerations. IEEE Trans. Signal Process. 43, 2745–2761 (1995)
Yang, Y., Peng, Z., Dong, X., Zhang, W., Meng, G.: Application of parameterized time-frequency analysis on multicomponent frequency modulated signals. IEEE Trans. Instrum. Meas. 63, 3169–3180 (2014)
Auger, F., Flandrin, P.: Improving the readability of time-frequency and time-scale representations by the reassignment method. IEEE Trans. Signal Process. 43, 1068–1089 (1995)
Meignen, S., Oberlin, T., Wu, H.-T.: Time-Frequency Reassignment and Synchrosqueezing (2013)
Daubechies, I., Lu, J., Wu, H.-T.: Synchrosqueezed wavelet transforms: an empirical mode decomposition-like tool. Appl. Comput. Harmon. Anal. 30, 243–261 (2011)
Acknowledgements
This work was supported in part by the National Key Basic Research Program of China (No. 2015CB057400), the National Natural Science Foundation of China (No. 51605366) and the China Postdoctoral Science Foundation (No. 2016 M590937).
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Tong, C., Chen, X., Wang, S. (2019). Nonlinear Squeezing Wavelet Transform for Rotor Rub-Impact Fault Detection. In: Barthorpe, R. (eds) Model Validation and Uncertainty Quantification, Volume 3. Conference Proceedings of the Society for Experimental Mechanics Series. Springer, Cham. https://doi.org/10.1007/978-3-319-74793-4_4
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DOI: https://doi.org/10.1007/978-3-319-74793-4_4
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