Adaptive Singular Value Decomposition and its Application to the Feature Extraction of Planetary Gearboxes

@article{Zhang2017AdaptiveSV,
  title={Adaptive Singular Value Decomposition and its Application to the Feature Extraction of Planetary Gearboxes},
  author={Qingliang Zhang and Yi Qin},
  journal={2017 International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC)},
  year={2017},
  pages={488-492}
}
Since the vibration signal of the planetary gear box is usually submerged by the noise, it is necessary to develop a method of weak fault characteristics extraction. Traditional singular value decomposition method is unable to select the number of the effective singular value automatically, a new fault diagnosis method of the planetary gear box based on adaptive singular value decomposition is, therefore, proposed. Firstly, according to certain conditions, several effective singular value… CONTINUE READING

Figures and Tables from this paper.

References

Publications referenced by this paper.
SHOWING 1-10 OF 12 REFERENCES

Fault diagnosis of rolling bearings based on SVD denoising and blind signals separation

Z. Xi, X. J. Shen, X. M. Caol
  • Journal of Vibration and Shock
  • 2015

Vibration fault diagnosis methods of planetary gear box,

Z. P. Feng, F. L. Zhu, M. J. Zuo
  • 2015
VIEW 2 EXCERPTS

Chemical Industry Publisher

Z. G. Rao. Design of planetary gear transmission
  • 2014.
  • 2014
VIEW 1 EXCERPT

Image SVD denoising based on PSNR and wavelet directional feature,

W. Min, Z. Lei, S. D. Zhou, T. E. Song
  • Journal of Applied Optics,
  • 2013
VIEW 1 EXCERPT

Caol, “Fault diagnosis of rolling bearings based on SVD denoising and blind signals separation,

E. L. Chen, Z. Xi, X. J. Shen, M X.
  • Journal of Vibration and Shock,
  • 2012
VIEW 1 EXCERPT