Reduction and Push Technology of Cable Harness Information for Complex Mechatronic Products based on Variable Precision Rough Sets

Falin Wang, Wenhe Liao, Yu Guo, Xiaofei Wang

2015

Abstract

As energy and signal transmission medium, cable harness is widely used in complex mechatronic products, and cable harness information are the basis and premise conditions of the flexible cable harness assembly simulation of complex mechatronic products system. To retrieve cable harness information from the information management system or repository effectively, a push method of cable harness information for complex mechatronic products based on variable precision rough sets (VPRS) was proposed in this paper. By using the cable harness information reduction method, the cable harness information repository is simplified, and rules which can support the precise push also be distilled from the reduct cable harness information repository. On the basis of the above approach, cable harness wiring designers, assembly process planners and assembly process simulation designers can efficiently share cable harness information during all design processes. Finally, a case is employed to validate the proposed method of this paper.

References

  1. Bol N-Canedo, V., S Nchez-Maro O, N. & AlonsoBetanzos, A. 2013. A Review of Feature Selection Methods on Synthetic Data. Knowledge and Information Systems, 34, 483-519.
  2. Chen, Y.-J., Chen, Y.-M. & Chu, H.-C. 2008. Enabling Collaborative Product Design through Distributed Engineering Knowledge Management. Computers in Industry, 59, 395-409.
  3. Dai, J., Wang, W., Tian, H. & Liu, L. 2013. Attribute Selection Based On A New Conditional Entropy For Incomplete Decision Systems. Knowledge-Based Systems, 39, 207-213.
  4. Fan, Z.-P., Feng, Y. & Sun, Y.-H. 2005. A Framework On Compound Knowledge Push System Oriented To Organizational Employees, First International Workshop, Internet And Network Economics.
  5. Farahat, A., Ghodsi, A. & Kamel, M. 2013. Efficient Greedy Feature Selection for Unsupervised Learning. Knowledge and Information Systems, 35, 285-310.
  6. G, P., W, B., J, F. & Kh, G. 2007. Engineering Design: A Systematic Approach. 3rd Ed, London (UK), Springer London Limited.
  7. Gy, W. 2001. Rough Set Theory and Knowledge Discovery, Xi'an, Xi'an Jiaotong University Press.
  8. Ji, X., Gu, X. & Dai, F. 2013. Technology for Product Design Knowledge Push Based On Ontology and Rough Sets. Computer Integrated Manufacturing Systems, 19, 7-20.
  9. Li, F. & Yin, Y. 2009. Approaches To Knowledge Reduction Of Covering Decision Systems Based On Information Theory. Information Sciences, 179, 1694- 1704.
  10. Li, J., Mei, C. & Lv, Y. 2013. Incomplete Decision Contexts: Approximate Concept Construction, Rule Acquisition And Knowledge Reduction. International Journal of Approximate Reasoning, 54, 149-165.
  11. M, T. 2002. Mechatronics: From the 20th to the 21st Century. Control Eng Practice, 10, 877-86.
  12. Mi, J.-S., Wu, W.-Z. & Zhang, W.-X. 2004. Approaches To Knowledge Reduction Based On Variable Precision Rough Set Model. Information Sciences, 159, 255-272.
  13. Naeve, A. 2005. The Human Semantic Web Shifting From Knowledge Push to Knowledge Pull. International Journal on Semantic Web and Information Systems, 1, 1-30.
  14. Ning, R., Liu, J., Tang, C. & Zhang, X. 2009. Virtual Assembly Technology and Its Application. Defense Manufacturing Technology, 4, 8.
  15. Pawlak, Z. 1982. Rough Sets. International Journal of Computer and Information Science, 11, 341-356.
  16. Pawlak, Z. 1991. Rough Sets: Theoretical Aspects of Reasoning about Data, Boston, Kluwer Academic Publishers.
  17. Ramentol, E., Caballero, Y., Bello, R. & Herrera, F. 2012. Smote-Rsb*: A Hybrid Preprocessing Approach Based On Oversampling And Under Sampling For High Imbalanced Data-Sets Using Smote And Rough Sets Theory. Knowledge and Information Systems, 33, 245-265.
  18. Shang, W., Ning, R., Liu, J. & Wang, Z. 2012. Assembly Process Simulation for Flexible Cable Harness in Complex Electromechanical Products. Journal of Computer-Aided Design & Computer Graphics, 24, 10.
  19. Shen, W., Norrie, D. H. & Barthes, J. P. 2000. Multi-Agent Systems for Concurrent Intelligent Design and Manufacturing, London, Uk, Taylor & Francis.
  20. Sle¸Zak, D. & Ziarko, W. 2005. The Investigation of the Bayesian Rough Set Model. International Journal of Approximate Reasoning, 40, 81-91.
  21. W., Z. 1993. Variable Precision Rough Set Model. Journal of Computer and System Sciences, 46, 39-59.
  22. Wang, L., Shen, W., Xie, H., Neelamkavil, J. & Pardasani, A. 2002. Collaborative Conceptual Design-State Of the Art and Future Trends. Computer-Aided Design, 34, 981-996.
  23. Ye, M., Wu, X., Hu, X. & Hu, D. 2014. Knowledge Reduction For Decision Tables With Attribute Value Taxonomies. Knowledge-Based Systems, 56, 68-78.
  24. Zhong, J. 2007. Coupling Design Theory and Method of Complex Electromechanical System, China Machine Press, Beijing.
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Paper Citation


in Harvard Style

Wang F., Liao W., Guo Y. and Wang X. (2015). Reduction and Push Technology of Cable Harness Information for Complex Mechatronic Products based on Variable Precision Rough Sets . In Proceedings of the 5th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH, ISBN 978-989-758-120-5, pages 263-270. DOI: 10.5220/0005538002630270


in Bibtex Style

@conference{simultech15,
author={Falin Wang and Wenhe Liao and Yu Guo and Xiaofei Wang},
title={Reduction and Push Technology of Cable Harness Information for Complex Mechatronic Products based on Variable Precision Rough Sets},
booktitle={Proceedings of the 5th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH,},
year={2015},
pages={263-270},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005538002630270},
isbn={978-989-758-120-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 5th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH,
TI - Reduction and Push Technology of Cable Harness Information for Complex Mechatronic Products based on Variable Precision Rough Sets
SN - 978-989-758-120-5
AU - Wang F.
AU - Liao W.
AU - Guo Y.
AU - Wang X.
PY - 2015
SP - 263
EP - 270
DO - 10.5220/0005538002630270