Study on Recognition Method of Ferrographic Debris Based on Neural Network

Article Preview

Abstract:

A new method is proposed in which three images of the same field of view under different lighting conditions were analysed comprehensively. On the basis of pretreatment of debris digital image and extraction of characteristic parameter of debrises, the debrises were recognized by establishing the BP neural network model. The results showed that the recognition accuracy of debrises could reach 85.6% with this method.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 774-776)

Pages:

1508-1511

Citation:

Online since:

September 2013

Authors:

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Wu Tonghai, Qiu Huipeng, Wu Jiaoyi, etal. Chinese Journal of Mechanical Engineering, 44. 9(2008), p.83(In Chinese).

Google Scholar

[2] Xiong Ao, Kong Xianmei, Wang Jiadao, etal. Mechanical Science and Technology, 21. 3(2002), p.421(In Chinese).

Google Scholar

[3] Wu Zhenfeng, Zuo Hongfu, Yang Zhong. Journal of Traffic and Transportation Engineering, 1. 1(2001), p.115(In Chinese).

Google Scholar

[4] Li Yanjun, Luo Feng. Lubrication Engineering, 33. 4(2008), p.31(In Chinese).

Google Scholar