Although mechanical vibration is extremely complicated, each fault signal produced by it has its own inherent features, The distinction may be most prominent between the certain components hidden in those features and the same components of normal signals. Three-order cumulant can reduce the Gaussian background noise automatically and its complex formal includes different coupling information of its signal. In the experiment, through these different coupling modes, the same coupling components are fetched from specific fault signal and normal signal, then these components are used to diagnose that certain fault. The results show that the method can fetch the most prominent distinction between normal signal and the specific fault signal, so the specific fault diagnosis by this method is satisfactory.
References
[1]
Cai, Q.Z. and Huang, Y.J. (2009) Research on Autoregressive Trispectral Slices. Chinese Journal of Scientific Instrument, 30.
[2]
Yang, J.G. and Xu, J.N. (2000) Characteristics and Identification of Dual Coherence Spectrum of Rotating Machinery Faults. Chinese Journal of Mechanical Engineering, 36,103-106.
[3]
Wu, Z.G., Xia, L. and Yin, W.M. (2002) Modern Signal Processing Technology: High-Order Spectrum, Time-Frequency Analysis and Wavelet Transform. Wuhan University Press, Wuhan, 21-22.
[4]
Hinich, M.J. (1994) Higher-Order Cumulants and Cumulants Spectra. Circuits Systems and Signal Processing, 13, 391-420. https://doi.org/10.1007/BF01183737
[5]
Raughveer, M.R. (1990) Time-Domain Approaches to Quadratic Phase Coupling Estimation. IEEE Transactions on Automatic Control, 35,48-56. https://doi.org/10.1109/9.45142
[6]
Zhang, Y. and Wang, S.X. (1998) Nonlinear Phase Coupling Slice Spectrum Analysis Method. Acta Electronica Sinica, 26, 104-109.