Abstract
For complex electromechanical and hydraulic configuration, there are more and more types and forms of faults in Hydraulic Excavator. It is difficulty to exact diagnosis various faults using a single discrimination method, because its mechanical, electrical, hydraulic and control subsystems have strong interact and coupling. The thesis studied the fault diagnosis system based on expert system through engineer practicing. A fault diagnosis research framework is proposed and the whole system scheme is designed.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Burrell, P., Inman, D.: An Expert System for the Analysis of Faults in an Electricity Supply Network: problems and achievements. Computers in Industry 37, 113–123 (1998)
Harada, M., Igarashi, Z.: Development of Expert System-Supported Construction Planning for a Shield-Tunneling. In: Method Innovative Applications of Artificial Intelligence, pp. 66–79. AAAI Press, Menlo Park, CA (2002)
Zhang, E.W.Y., Tor, S.B., Britton, G.A., Deng, Y.-M.: EFDEX: A Knowledge-Based Expert System for Functional Design of Engineering Systems. Int. Journal of Advanced and Manufacturing Technology 17, 339–353 (2001)
Sheremetov, L.B., Contreras, M., Valencia, C.: Intelligent Multi-agent Support for the Contingency Management System. Expert Systems with Applications 26(1), 57–71 (2004)
Chang, P.H.: A straight-line Motion Tracking Control of Hydraulic Excavator system. Journal of Mechatronics 12, 119–138 (2002)
Lee, S.-U.: Control of a Heavy-duty Robotic Excavator using Time Delay Control with Integral Sliding Surface. Journal of Control Engineering Practice 10, 697–711 (2002)
Haga, M.: Digging Control System for Hydraulic Excavator. Journal of Mechatronics 11, 665–676 (2001)
Hall, A.S.: Robust Bucket Position Tracking for a Large Hydraulic Excavator. Journal of Mechanism and Machine Theory 40, 1–16 (2005)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Yin, J., Mei, L. (2011). Fault Diagnosis of Excavator Hydraulic System Based on Expert System. In: Lee, G. (eds) Advances in Automation and Robotics, Vol.1. Lecture Notes in Electrical Engineering, vol 122. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25553-3_12
Download citation
DOI: https://doi.org/10.1007/978-3-642-25553-3_12
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-25552-6
Online ISBN: 978-3-642-25553-3
eBook Packages: EngineeringEngineering (R0)