[1]
T. W. S. Chow and S. Hai, in: Induction Machine Fault Diagnostic Analysis With Wavelet Technique[J], IEEE Trans. Ind. Electron., 2004, vol. 51, p.558–565.
DOI: 10.1109/tie.2004.825325
Google Scholar
[2]
T.W. S. Chow and H. Z. Tan, in: HOS-based nonparametric and parametric methodologies for machine fault detection[J], IEEE Trans. Ind. Electron., 2000, vol. 47, p.1051–1059.
DOI: 10.1109/41.873213
Google Scholar
[3]
V. Wowk, in: Machinery Vibration: Measurement and Analysis[M]. NewYork, 1991: McGraw-Hill.
Google Scholar
[4]
P. E. S. Goldman, in: Vibration Spectrum Analysi[M]s. New York 1999: Industrial Press.
Google Scholar
[5]
G. S. Mallat, in: A Wavelet Tour of Signal Processing[M]. San Diego, CA 1999: Academic.
Google Scholar
[6]
G. Y Luo, D. Osypiw and M. Irle, in: Application of time-scale Gaussian wavelet based fast algorithm for vibration transients detection[J], IEE Seminar on Time-scale and time-frequency Analysis and Applications, 2000, 16/1–16/7.
DOI: 10.1049/ic:20000565
Google Scholar
[7]
Q. Liu, in: A case study on multi-sensor data fusion for imbalance diagnosis of rotating machinery[J], Artificial Intelligence for Engineering Design, Analysis and Manufacturing: AIEDAM 15, 2001, 203–210.
DOI: 10.1017/s0890060401153011
Google Scholar
[8]
Y. P. Zhang, S. H. Huang, J. H. Hou, T. Shen and W. Liu, in: Continuous wavelet grey moment approach for vibration analysis of rotating machinery[J], Mechanical Systems and Signal Processing, 2006, vol. 20, p.1202–1220.
DOI: 10.1016/j.ymssp.2005.04.009
Google Scholar
[9]
C. L. Chong and Z. D. Qiu. in: A method based on morlet wavelet for extracting vibration signal envelope[J], Fifth International Conference on Signal Processing Proceedings, 2000, 1, 337–340.
DOI: 10.1109/icosp.2000.894504
Google Scholar
[10]
J. H. Hou, S. H. Huang, T. Shen, etal, in: Wavelet-based quantitative analysis of vibration signal of rotating machinery[J], Chinese Journal of Mechanical Engineering, 2004, 40, 131–135.
Google Scholar