Intelligent fault diagnostic system based on RBR for the gearbox of rolling mills

Abstract

This paper presents an intelligent system that is necessary for diagnostic accuracy and efficiency in the iron and steel industry. A rule-based reseaning (RBR) intelligent diagnostic system has been developed based on many successful diagnostic applications. It can solve the difficulty in knowledge acquisition and has more precision. Its application results prove that the usability of the system is good and it will increasingly attain perfection.

Keywords

rule-based reasoning / fault diagnosis / intelligent system / gear box

References

[1] Yang Z, Gu X S. Research on the intelligent diagnosis technology and its application. Transaction of Guizhou University (Natural Science Edition), 2007, 24(2): 161–165 (in Chinese)

[2] Chen W, Hu G R, Wang Y P. Knowledge acquisition in an expert system for fault diagnosis of certain spacecraft. Journal of Shanghai Jiaotong University, 2000, 34(6): 845–847

[3] He Y, Li Z F. Research and application of intelligent fault diagnosis technology. Transaction of Zhejiang University, 2003, 29(2): 119–124 (in Chinese)

[4] Han J K, Zhang M. A study on the troubleshooting expert system for hydraulic of agricultural machinery. Transactions of the Chinese Society of Agricultural Machinery, 1999, 30(3): 67–70

[5] Li J, Lv H X. Design and implementation of medical diagnostic expert system inference engine. Computer Development, 2004, 14(9): 42–44 (in Chinese)

[6] Zhao Z D. Reasoning mechanism and method of reasoning. Automation Expo, 1997, (6): 19–20 (in Chinese)

RIGHTS & PERMISSIONS

2014 Higher Education Press and Springer-Verlag Berlin Heidelberg