Study on Fault Diagnosis for Turbocharging System of Diesel Engine Based on Support Vector Machine

Article Preview

Abstract:

The support vector machine technology is applied to study the fault diagnosis for supercharge system of diesel engine. Based on the different features under various faults of supercharge system of diesel engine and the signal variables of the fault of the system’s components, dimensionless daters can be gotten after normalization processing. The utilization of SVM with good generation ability wad adopted to establish the diagnosis model for supercharge system of diesel engine, which can make the system failure diagnosis through inputting the diagnosis data. The average accuracy is 99.8% in twenty tests. The diagnosing results are consistent with the factual results.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

371-374

Citation:

Online since:

November 2010

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2011 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] B. C. Ma: In Partial Fulfillment of the Requirements for the Degree of Master of Engineering (MS., Dalian Maritime University, China 2008), pp.47-49.

Google Scholar

[2] X. Sun, X. Q. Ding and S. Shi: Application Research of Computers, Vol. 6 (2006), pp.202-204. (In Chinese).

Google Scholar

[3] J. L. Huang, Z. X. Cai, Z. M. Weng and S. Z. Huang: Journal of Jimei University (Natural Science). Vol. 5 (2000) No. 3, pp.74-78. (In Chinese).

Google Scholar

[4] W. Wei, Y. L. Zhan, B. C. Zhao and C. F. Huo: Journal of Nantong Vocational & Technical Shipping College. Vol. 8 (2009) No. 1, pp.53-57, 83. (In Chinese).

Google Scholar

[5] V. Vapnik: Statistical Learning Theory (springer, 1998), pp.2-3.

Google Scholar

[6] C. Chang and C. Lin: LIBSVM: a library for support vector machines. (2001).

Google Scholar