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International Conference on Intelligent Computing and Information Science

ICICIS 2011: Intelligent Computing and Information Science pp 62–68Cite as

Technology Barriers Analysis on Bearing Industry Based on Relational Matrix Method

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 134))

Abstract

Statuses of bearings industry are analyzed. The main elements of industrial targets are identified and calculated in light of the weighted average by the scientific statistics and analysis methods. Technical barriers are got in the term of expert judgments based on the weights of industrial targets. Then the matrix is built. The industry targets which need to overcome key technical barriers are selected. By means of the breakthrough in these technical barriers, the technological upgrading of the industry will be promoted.

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References

  1. Yu, X.C., Sh, X.: Engineering Tutorials. Qinghua University Press (2007)

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Author information

Authors and Affiliations

  1. School of Mechatronics Engineering, Henan University of Science and Technology, Luoyang, 471003, China

    Xianzhao Jia, Feng Lv, Yonggang Liu & Juan Wang

  2. Henan Key Lab for Machinery Design and Transmission System, Luoyang, 471003, China

    Xianzhao Jia & Yonggang Liu

Authors
  1. Xianzhao Jia
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  2. Feng Lv
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  3. Yonggang Liu
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  4. Juan Wang
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Editor information

Editors and Affiliations

  1. The Key Laboratory of Manufacture and Test, Chongqing University of Technology, 400054, Chongqing, P. R. China

    Ran Chen

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© 2011 Springer-Verlag Berlin Heidelberg

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Cite this paper

Jia, X., Lv, F., Liu, Y., Wang, J. (2011). Technology Barriers Analysis on Bearing Industry Based on Relational Matrix Method. In: Chen, R. (eds) Intelligent Computing and Information Science. ICICIS 2011. Communications in Computer and Information Science, vol 134. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-18129-0_11

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  • DOI: https://doi.org/10.1007/978-3-642-18129-0_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-18128-3

  • Online ISBN: 978-3-642-18129-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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