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Internet-Based Remote Monitoring and Fault Diagnosis System

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Advances in Neural Networks - ISNN 2004 (ISNN 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3174))

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Abstract

This paper presents a novel monitoring-oriented and diagnosis-oriented software architecture model of Internet-based remote monitoring and fault diagnosis system based on Unified Modeling Language. This system combines rule-based reasoning and data mining techniques with case-based reasoning for fault diagnosis. A novel knowledge-based fuzzy neural network has been proposed and implemented to mine data stored in monitoring database. The applied technologies can be used for other research domains.

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References

  1. Shaw, M., Garlan, D.: Software Architecture: Perspectives on an Emerging Discipline. Prentice Hall PTR, U.S.A (1996)

    MATH  Google Scholar 

  2. Whitehead, K.: Component-based Development. Addison-Wesley Longman Inc., U.S.A (2001)

    Google Scholar 

  3. Booch, G., Rambaugh, J., Jacobson, I.: The Unified Modeling Language Reference Manual. Addison-Wesley Longman Inc., Boston (1999)

    Google Scholar 

  4. Conallen, J.: Modeling Web Application Architectures with UML. Communications of the ACM 42, 63–70 (1999)

    Article  Google Scholar 

  5. Conallen, J.: Building Web Applications with UML (Second Edition). Addison-Wesley Longman Inc., Boston (2002)

    Google Scholar 

  6. Fayyad, U., Stolorz, P.: Data mining and KDD: Promise and challenges. Future Generation Computer Systems 13, 99–115 (1997)

    Article  Google Scholar 

  7. Li, R., Chen, J., Wu, X.: Fault Diagnosis of Rotor using Knowledge-based Fuzzy Neural Networks. Applied mathematics and mechanics (English Edition) (in press)

    Google Scholar 

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Author information

Authors and Affiliations

  1. The State Key Laboratory of Vibration, Shock & Noise, Shanghai Jiao Tong University, Shanghai, 200030, P. R. China

    Xing Wu, Jin Chen, Ruqiang Li & Fucai Li

Authors
  1. Xing Wu
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  2. Jin Chen
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  3. Ruqiang Li
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  4. Fucai Li
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Editor information

Editors and Affiliations

  1. School of Electronic and Information Engineering, Dalian University of Technology, 116023, Dalian, China

    Fu-Liang Yin

  2. Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China

    Jun Wang

  3. School of Electronic and Information Engineering, Dalian University of Technology, 116023, Dalian, Liaoning, China

    Chengan Guo

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© 2004 Springer-Verlag Berlin Heidelberg

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Wu, X., Chen, J., Li, R., Li, F. (2004). Internet-Based Remote Monitoring and Fault Diagnosis System. In: Yin, FL., Wang, J., Guo, C. (eds) Advances in Neural Networks - ISNN 2004. ISNN 2004. Lecture Notes in Computer Science, vol 3174. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-28648-6_91

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  • DOI: https://doi.org/10.1007/978-3-540-28648-6_91

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-22843-1

  • Online ISBN: 978-3-540-28648-6

  • eBook Packages: Springer Book Archive

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