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Intelligent Failure Diagnosis Algorithm Based on Binary Granule Neural Network

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Rough Sets and Knowledge Technology (RSKT 2009)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5589))

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Abstract

In granular computing based on rough set, the equivalent relation in rough set theory can be expressed by equivalent granule. In this paper, authors developed binary granule encoding algorithm of decision information system (BGrE-DIS) and core attributes acquisition algorithm under the binary granule expression (CAA-BGrE). Furthermore, a fundamental model of binary granule neural network was established. The proposed binary granule neural network was valuated by a fault diagnosis simulation example given in the end of this paper to prove the validity of the proposed model and rapidity of these proposed algorithms.

The authors gratefully acknowledge the support of K. C. Wong Education Foundation, Hong Kong. The work was supported by National Natural Science Foundations of China (60843006), Visiting Scholar Foundation of Shanxi Province of China (2008-25).

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Author information

Authors and Affiliations

  1. The College of Information Engineering, Taiyuan University of Technology, No. 79, Yingze West Street, 030024, Taiyuan, China

    Jun Xie, Feng Li, Keming Xie & Xinying Xu

Authors
  1. Jun Xie
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  2. Feng Li
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  3. Keming Xie
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  4. Xinying Xu
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Editor information

Editors and Affiliations

  1. Faculty of Engineering and Surveying and Engineering, University of Southern Queensland, QLD 4350, Australia

    Peng Wen

  2. School of Information Technology, Queensland University of Technology, QLD 4001, Brisbane, Australia

    Yuefeng Li

  3. Institute of Mathematics, Warsaw University of Technology, Koszykowa 86, 02008, Warsaw, Poland

    Lech Polkowski

  4. Department of Computer Science, University of Regina, S4S 0A2, Regina, Saskatchewan, Canada

    Yiyu Yao

  5. Faculty of Medicine, Department of Medical Informatics, Shimane University, 89-1 Enya-cho, Izumo, 693-8501, Shimane, Japan

    Shusaku Tsumoto

  6. Institute of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, China

    Guoyin Wang

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© 2009 Springer-Verlag Berlin Heidelberg

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Xie, J., Li, F., Xie, K., Xu, X. (2009). Intelligent Failure Diagnosis Algorithm Based on Binary Granule Neural Network. In: Wen, P., Li, Y., Polkowski, L., Yao, Y., Tsumoto, S., Wang, G. (eds) Rough Sets and Knowledge Technology. RSKT 2009. Lecture Notes in Computer Science(), vol 5589. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02962-2_34

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  • DOI: https://doi.org/10.1007/978-3-642-02962-2_34

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-02961-5

  • Online ISBN: 978-3-642-02962-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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