Hydraulic Fault Diagnosis Expert System of Excavator Based on Fault Tree

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Abstract:

The constituting of diagnosis expert system and the basic theory of fault tree analysis were introduced at first. A model of combining fault tree with expert system was analyzed. It focused on the hydraulic excavator PC220-7 for Komatsu according to the hydraulic system breakdown of law and order was particularity. A method combined the fault tree analysis with an expert system based rules was adopted. It was expressed systematically expert knowledge by building a fault tree. According to the fault tree, a database of diagnostic rule can be automatically generated. Automatic diagnosis knowledge acquisition has become reality. A hydraulic system fault of excavator was given as an example to design an expert system with the function of complex reasoning and explanation. It provides a reference for hydraulic excavator of the use of management and fault maintenance personnel to solve excavator problems. It shows that this method has a good application in the future.

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Periodical:

Advanced Materials Research (Volumes 228-229)

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439-446

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Online since:

April 2011

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© 2011 Trans Tech Publications Ltd. All Rights Reserved

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[1] S.H. Liao: Expert Systems with Application, Vol. 28 (2005), p.93.

Google Scholar

[2] G.X. Song, Y.Y. He and F.L. Chu: Expert Systems With Applications, Vol. 34 (2008), p.764.

Google Scholar

[3] S.C. Liu, S.Y. Liu: An Efficient Expert System for Machine Fault Diagnosis. The International Journal of Advanced Manufacturing Technology, (2003) No. 21, p.691.

DOI: 10.1007/s00170-002-1389-9

Google Scholar

[4] Y.Y. Li, J. Liu and C.Q. Sun: Machinery Design & Manufacture, (2009) No. 1, p.42. (In Chinese).

Google Scholar

[5] D.H. Shi, S.R. Wang: Method and Theory for Fault Tree Analysis (Beijing Normal University Press, China, 1993).

Google Scholar

[6] F.S. Zhang, C.H. Zhang: Maintenance Manual for Komatsu Excavator(Machinery Industry Press, China, 2010).

Google Scholar

[7] S.H. Chae, T.H. Yoshida: The 25th International Symposium on Automation and Robotics in Construction (Vilinius, Lithuania, June 26-29, 2008). 2008, p.292.

Google Scholar

[8] B. S. Yang, D.S. Lim and Andy Chit Chiow Tan: Expert Systems With Application, (2005) No. 28, p.735.

Google Scholar

[9] H. Liu, P. Ren and J.L. Zhou: Computer Technology and Development, Vol. 16 (2006) No. 6, p.1. (In Chinese).

Google Scholar

[10] W.S. Zhang, X.Q. qing Wang and X.Y. Xu: Mechanical Engineering & Automation, (2009) No. 2, p.107. (In Chinese).

Google Scholar

[11] N. Lilic, I. Obradovic and Cvjetic: Engineering Application of Artificial Intelligence, (2010) No. 23, p.453.

Google Scholar

[12] Z.Y. Chen, D.S. Zhang and P.H. Ren: Transactions of the Chinese Society for Agricultural Machinery, Vol. 34 (2003) No. 5, p.130. (In Chinese).

Google Scholar

[13] D.H. Wu, P.L. Zhang and J.P. Fu: Chinese Hydraulics & Pneumatics, (2007) No. 7, p.79. (In Chinese).

Google Scholar