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Fault Diagnosis of Excavator Hydraulic System Based on Expert System

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Advances in Automation and Robotics, Vol.1

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 122))

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.

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References

  1. 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)

    Article  Google Scholar 

  2. 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)

    Google Scholar 

  3. 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)

    Article  MATH  Google Scholar 

  4. 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)

    Article  Google Scholar 

  5. Chang, P.H.: A straight-line Motion Tracking Control of Hydraulic Excavator system. Journal of Mechatronics 12, 119–138 (2002)

    Article  Google Scholar 

  6. 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)

    Article  Google Scholar 

  7. Haga, M.: Digging Control System for Hydraulic Excavator. Journal of Mechatronics 11, 665–676 (2001)

    Article  Google Scholar 

  8. Hall, A.S.: Robust Bucket Position Tracking for a Large Hydraulic Excavator. Journal of Mechanism and Machine Theory 40, 1–16 (2005)

    Article  MATH  Google Scholar 

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© 2011 Springer-Verlag Berlin Heidelberg

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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

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  • 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)

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