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Rough-Set-Based Energy Consumption Model of Cutting Period in CNC Lathe

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Theory, Methodology, Tools and Applications for Modeling and Simulation of Complex Systems (AsiaSim 2016, SCS AutumnSim 2016)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 645))

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Abstract

An energy consumption model of cutting period in CNC lathe is presented using rough set theory. Firstly, initial decision table is established from acquired data. Secondly, decision attribute is discretized according to its distribution. Furthermore, a novel continuous attribute discretization method is proposed to discretize condition attributes. Finally, output is calculated based on information space ratio. The experiment shows this method is viable and accurate.

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Acknowledgement

This work is supported by National Hi-tech Research and Development Program of China (863 Program, Grant No. 2014AA041505), the National Natural Science Foundation of China (Grant No. 61572238) and the Provincial Outstanding Youth Foundation of Jiangsu Province (Grant No. BK20160001).

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Authors and Affiliations

  1. Engineering Research Center of Internet of Things Technology Applications Ministry of Education, Jiangnan University, Wuxi, 214122, China

    Binzi Xu, Yan Wang, Zhicheng Ji & Manfeng Hu

Authors
  1. Binzi Xu
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  2. Yan Wang
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  3. Zhicheng Ji
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  4. Manfeng Hu
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Corresponding author

Correspondence to Yan Wang .

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Editors and Affiliations

  1. Beihang University , Beijing, China

    Lin Zhang

  2. Beihang University , Beijing, China

    Xiao Song

  3. Beihang University , Beijing, China

    Yunjie Wu

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© 2016 Springer Science+Business Media Singapore

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Xu, B., Wang, Y., Ji, Z., Hu, M. (2016). Rough-Set-Based Energy Consumption Model of Cutting Period in CNC Lathe. In: Zhang, L., Song, X., Wu, Y. (eds) Theory, Methodology, Tools and Applications for Modeling and Simulation of Complex Systems. AsiaSim SCS AutumnSim 2016 2016. Communications in Computer and Information Science, vol 645. Springer, Singapore. https://doi.org/10.1007/978-981-10-2669-0_43

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  • DOI: https://doi.org/10.1007/978-981-10-2669-0_43

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-2668-3

  • Online ISBN: 978-981-10-2669-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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