Research on the Application of Wavelet Analysis in Fault Detection

Article Preview

Abstract:

For the purpose of fast fault diagnosis and fault time point location, wavelet transform was used in the fault diagnosis in this paper, due to its singularity of the wavelet transform and multi-resolution properties, and it is verified the simulation examples, which illustrates different wavelet coefficients have different effect on the detection of mutation signal. Finally we obtained a general method of wavelet type selection.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 756-759)

Pages:

468-471

Citation:

Online since:

September 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Defeng Zhang: MATLAB Wavelet Analysis (Machinery Industry Press, Beijing 2009), pp.283-292.

Google Scholar

[2] Zhenlei Wu and Zhongrong Chen, in: Mutation detection signal based on wavelet transform, Microcomputer information (2006), 22(12-1), pp.92-94.

Google Scholar

[3] HaoYe, in: The application of wavelet transform in fault detection, Journal of automation (1997), 23(6), pp.736-741.

Google Scholar

[4] Yinfeng Zhou, Xiaotie Niu and Yu Huang, in: Wavelet Transform Application in Rolling Bearing Fault Diagnosis, Coal Mining Machinery (2012), 33(11), pp.289-291.

Google Scholar

[5] Jinping Yang and Jiangtao Feng, in: Transient signal detection using wavelet transform, Journal of Electric Power (2009), 24(5), pp.396-398.

Google Scholar

[6] Partick Longa, Ali Miri and Miodrag Bolic in: A Flexible Design of Filterbank Architectures for Discrete Wavelet Transforms, IEEE (2007), (1), pp.1441-1444.

DOI: 10.1109/icassp.2007.367118

Google Scholar

[7] Sinpyo Hong and Man Hyung Lee, in: Observability of error State in GPS/INS integration, IEEE Transaction on Vehicular Technology (2005), 54(2), pp.102-106.

DOI: 10.1109/tvt.2007.905610

Google Scholar