Research on Fault Diagnosis of Forklift’s Hydraulic System Based on Rough Set Theory

Abstract:

An approach of forklift’s fault diagnostic knowledge acquisition and discrete date based on rough set theory was put forward, according to the rough set theory in fault diagnosis of fault tolerance, the use of rough set theory in fault knowledge attribute reduction and value reduction, as in incomplete fault information of forklift hydraulic system fault diagnosis provides a train of thought. The inferential strategy and process of fault diagnosis of hydraulic system for forklift were described. Examples show that the proposed approach is very effective.

• Periodical: Advanced Materials Research (Volumes 524-527)
• Pages: 819-823
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.524-527.819
• Online since: May 2012
• Authors: Xin Ping Su, Guang Kun Nie, Wei Xin Fan
• Keywords: Attribute Reduction, Fault Diagnosis, Forklift Hydraulic System, Rough Set Theory (RST)

References

[1] Yu Daoyuan, Wang Wenfeng. Research on Loader Diagnostic System Based on Rough Set Theory [J]. Chinese Journal of Mechanical Engineering, 2006,17(16):1672-1674.

[2] Zhou Lian. Fault Diagnosis Based on Combination of Fault Tree and Rough Set Theory [J]. Journal of Hunan Institute of Engineering, 2009(6):25-28.

[3] Wang Chaogang. Loader Fault Diagnosis Knowledge acquisition and reasoning strategies [J]. Modern Business Trade Industry, 2008(7):365-366.

[4] Xiao Yunkui. Automobile fault diagnosis[M]. Beijing: Beijing Institute of Technology Press, 2006.5.

[5] Wang Guoyin. Rough Set Theory and Knowledge Acquisition [M]. XI'AN Jiaotong University Press,2001.