Skip to main content
SpringerLink
Log in

Fuzzy Synthetic Evaluation Approach of Reliability for Condition Monitoring System

  • Conference paper
Intelligent Robotics and Applications (ICIRA 2008)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5315))

Included in the following conference series:

  • 4096 Accesses

Abstract

Condition monitoring system (CMS) is now widely used in engineering fields. It plays an important role if it’s reliable. But many factors affect reliability of CMS. The traditional reliability theory and approach or fuzzy reliability theory and approach can only assess how one of these factors affects CMS’s reliability. More comprehensive reliability evaluation theory and approach need be developed to assess the reliability of CMS, as well as to analyze impact factors of reliability of CMS. Fuzzy synthetic evaluation theory is becoming a new method of assessing or decision making step-by-step and used broadly in many fields. Based on fuzzy synthetic evaluation and reliability theory, this paper studies the fuzzy synthetic evaluation approach of reliability of CMS and proposes a new method to evaluate reliability of CMS. It first reviews recent development in the study of reliability of CMS, then a fuzzy synthetic evaluation model of reliability for CMS is built, and a practical paradigm is given to show the application of proposed fuzzy synthetic evaluation for reliability of CMS and some conclusions are presented.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 189.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

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. Hu, Y.: Reliability of condition monitoring system. [Doctoral dissertation] Wuhan. Huazhong University of Science & Technology (2003)

    Google Scholar 

  2. Muller, A., et al.: On the concept of e-maintenance: Review and current research. Reliab. Eng. Syst. Safty 93(8), 1165–1187 (2008)

    Article  Google Scholar 

  3. Siyambalapitiya, D.J.T., Mclaren, P.G.: Reliability improvement and economic benefits of on-line monitoring systems for large induction machines. IEEE transactions on industry applications 26(6), 1018–1025 (1990)

    Article  Google Scholar 

  4. Cempel, C., Natke, H.G., Yao, J.T.P.: Symptom reliability and hazard for systems condition monitoring. Mechanical Systems and Signal Processing 14(3), 495–505 (2000)

    Article  Google Scholar 

  5. Saranga, H., Knezevic, J.: Reliability prediction for condition-based maintained systems. Reliability Engineering and System Safety 71, 219–224 (2001)

    Article  Google Scholar 

  6. Márquez, F.P.G., Schmid, F., Collado, J.C.: A reliability centered approach to remote condition monitoring: A railway points case study. Reliability engineering and system safety 80, 33–40 (2003)

    Article  Google Scholar 

  7. Youmin, H., Runsheng, D., Shuzi, Y.: Reliability analysis of concentrated monitoring and control system. Joural of Vibration, Measurment & Diagnosis 23(3), 6–9 (2003)

    Google Scholar 

  8. Youmin, H., Runsheng, D., Shuzi, Y.: Reliability analysis for monitoring and measuring system with hierarchy and redunancy structure. Chinese Journal of Mechanical Engineering 39(8), 110–115 (2003)

    Article  Google Scholar 

  9. Utkin, L.V., Gurov, S.V.: A general formal approach for fuzzy reliability analysis in the possibility context. Fuzzy sets and systems 83, 203–213 (1996)

    Article  MathSciNet  Google Scholar 

  10. Cai, K.-Y.: System failure engineering and fuzzy methodology: an introductory overview. Fuzzy sets and systems 83, 113–133 (1996)

    Article  Google Scholar 

  11. Wu, N.E.: Reliability of reconfigurable control system: a fuzzy set theoretic perspective. In: Proceedings of the 36th conference on decision and control 1997, pp. 3352–3356 (1997)

    Google Scholar 

  12. Wu, H.-C.: Fuzzy reliability analysis based on closed fuzzy numbers. Information sciences 103, 135–159 (1997)

    Article  MATH  MathSciNet  Google Scholar 

  13. Bing, L., Meilin, Z., Kai, X.: A practical engineering method for fuzzy reliability analysis of mechanical structures. Reliability engineering and system safety 67, 311–315 (2000)

    Article  Google Scholar 

  14. Nachtmann, H., Chimka, J.R.: Fuzzy reliability in conceptual design. In: 2003 proceedings annual reliability and maintainability symposium, pp. 360–364. IEEE, Los Alamitos (2003)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. School of Mechanical Science & Engineering, Huazhong University of Science and Technology, Wuhan, PRC, 430074

    Youmin Hu, Bo Wu & Pongxin Yi

Authors
  1. Youmin Hu
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Bo Wu
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Pongxin Yi
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. School of Mechanical Science and Engineering, Huazhong University of Science and Technology, 430074, Wuhan, China

    Caihua Xiong

  2. The Institute of Industrial Research, University of Portsmouth, UK

    Honghai Liu

  3. School of Mechanical Science and Engineering, Huazhong University of Science and Technology, 430074, Wuhan, P. R. China

    Yongan Huang  & Youlun Xiong  & 

Rights and permissions

Reprints and permissions

Copyright information

© 2008 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Hu, Y., Wu, B., Yi, P. (2008). Fuzzy Synthetic Evaluation Approach of Reliability for Condition Monitoring System. In: Xiong, C., Liu, H., Huang, Y., Xiong, Y. (eds) Intelligent Robotics and Applications. ICIRA 2008. Lecture Notes in Computer Science(), vol 5315. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88518-4_63

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-88518-4_63

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-88516-0

  • Online ISBN: 978-3-540-88518-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation