Skip to main content

Fuzzy Inference Based Fault State Diagnosis of Navigation Mark

  • Conference paper
Fuzzy Information and Engineering Volume 2

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 62))

  • 943 Accesses

Abstract

To solve the problems such as mass information processing, high real-time requirement and complexity of fault diagnosis for the navigation mark in the inner river, this paper presents a sort of fault diagnosis method based on fuzzy inference. In the paper, it is established the mathematical model of fuzzy fault diagnosis, and gives the process of fault diagnosis based on fuzzy inference, and correspondingly gives an application example at the end of the paper. The research results show that the method improves the precision of fault diagnosis greatly and solves effectively the problem of the fault diagnosis of navigation mark in real time and complexity as well as mass information processing.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 259.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 329.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Lu, G., Wu, W., Jinbo, Z.: Research of Energy Saving on Remote Monitoring Pharos Based on Wireless Sensor Networks. Control & Automation 10-1, 105–107 (2007)

    Google Scholar 

  2. Jiachun, Z.: Key Technique of Remote Monitoring System of Navigational Marks. Navigation of China 4, 61–65 (2006)

    Google Scholar 

  3. Yunping, W., Shengzhen, C., Huasong, L., Weida, S., Jinying, W., Wangbiao, L.: Design and Implementation of Pharos Remote Control Information System. Computer Engineering 32(12), 253–254 (2006)

    Google Scholar 

  4. Schuh, C.J.: Usage of Fuzzy Systems in Critical Care Environments. In: IEEE International Conference on Fuzzy Systems, pp. 1339–1344 (2008)

    Google Scholar 

  5. Zadeh, L.A.: Fuzzy Sets. Information and Control 8, 338–353 (1965)

    Article  MATH  MathSciNet  Google Scholar 

  6. Zadeh, L.A.: Biological Application of the Theory of Fuzzy Sets and System. In: The Proceedings of an International Symposium on Biocybernetics of the Central Nervous System, pp. 199–206 (1969)

    Google Scholar 

  7. Yingluo, W.: Systems Engineering. Mechanical Engineering Press, Beijing (1995)

    Google Scholar 

  8. Xi, L., Zhigang, H.: Engineering Machine Fault Diagnosis Expert System Based on Fuzzy Inference and Self-learning. Computer Engineering and Applications 15, 200–202 (2005)

    Google Scholar 

  9. Shuzhen, Y., Wenshang, X., Yunhong, G.: Study on Fault Diagnosis of Mine hoist based on Fuzzy Inference. Coal Mine Machinery 9, 148–150 (2005)

    Google Scholar 

  10. Jinpei, W.: Fuzzy Diagnosis Theory and its Applications. Science Press, Beijing (1995)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2009 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Cheng, Sl., Lu, Wb., Zeng, W. (2009). Fuzzy Inference Based Fault State Diagnosis of Navigation Mark. In: Cao, B., Li, TF., Zhang, CY. (eds) Fuzzy Information and Engineering Volume 2. Advances in Intelligent and Soft Computing, vol 62. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03664-4_65

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-03664-4_65

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-03663-7

  • Online ISBN: 978-3-642-03664-4

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics