Machinery condition prediction based on wavelet and support vector machine-Reference-Cited by-同舟云学术

Machinery condition prediction based on wavelet and support vector machine

Published:2015-02-05 Issue:4 Volume:28 Page:1045-1055
ISSN:0956-5515
Container-title:Journal of Intelligent Manufacturing
language:en
Short-container-title:J Intell Manuf

Author:

Liu Shujie,Hu Yawei,Li Chao,Lu Huitian,Zhang Hongchao

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Industrial and Manufacturing Engineering,Software

Link

http://link.springer.com/content/pdf/10.1007/s10845-015-1045-5.pdf

Reference30 articles.

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3. Chen, G., & Zhou, J. (2008). Research on parameters and forecasting interval of support vector regression model to small sample. Acta Metrologica Sinica, 29(1), 92–96.

4. Chenoweth, H. B. (1990). Soft failures and reliability. Reliability and Maintainability Symposium. doi: 10.1109/ARMS.1990.67995 .

5. Christmann, A., & Steinwart, I. (2008). Support Vector Machines. New York: Springer.

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