Journal of the Korean Society of Industry Convergence (한국산업융합학회 논문집)

The Korean Society of Industry Convergence (한국산업융합학회)
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A Study on the Correction and Management of Bearing Drawings in the Defense Field

국방분야 베어링 도면정비 및 관리방안 연구

  • Yi, Il-Lang (Land Systems Engineering Team, Defense Agency for Technology and Quality) ;
  • Kim, Tae-Won (Quality Planning Team, Defense Agency for Technology and Quality)
  • 이일랑 (국방기술품질원 기동화력기술팀) ;
  • 김태원 (국방기술품질원 품질기획팀)
  • Received : 2020.03.12
  • Accepted : 2020.04.01
  • Published : 2020.04.30
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Abstract

In this paper, we introduce the results of investigating and overhauling bearing drawings in the defense field, and propose an effective bearing drawing management system. We identify the features and performance items that must be regulated in the bearing drawing. After reviewing the validity of the bearing drawings, we classify the incorrect drawings by factor. To achieve greater effect, standardized formats are needed to incorporate into the drawing in the early stage. We propose the introduction of a bearing drawing management system so that the developing bearing technology can be applied quickly to the defense sector. As other elementary parts of the machine have similar problems, we think this study will help develop improvement plans.

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References

  1. J. A. Jones, J. A. Hayes, "Use of a field failure database for improvement of product reliability", Reliability Engineering & System Safety, Vol. 55, Issue 2, pp. 131-134, (1997). https://doi.org/10.1016/S0951-8320(96)00088-9
  2. Mohamed El-Mehalawi, R Allen Miller, "A database system of mechanical components based on geometric and topological similarity. Part I: representation", Computer-Aided Design, Vol. 35, Issue 1, pp. 83-94, (2003). https://doi.org/10.1016/S0010-4485(01)00177-4
  3. Y. Hatamura, K. Ilno, K. Tsuchlya, T. Hamaguchi, "Structure of Failure Knowledge Database and Case Expression", CIRP Annals, Vol. 52, Issue 1, pp. 97-100, (2003). https://doi.org/10.1016/S0007-8506(07)60540-X
  4. Hoon Jung, Moonsumg Park, "A Study of Big data-based Machine Learning Techniques for Wheel and Bearing Fault Diagnosis", Journal of the Korea Academia-Industrial Cooperation Society, Vol. 19, No. 1, pp. 75-84, (2018).
  5. Yong-Hwan Bae, Sang-yeob Oh, "Development of Intelligent Fault Diagnosis System for CIM", Journal the Korean Society of Industry Convergence, Vol. 7, No. 2, pp. 199-205, (2004).
  6. Suk-su Kim, Jae-ho Song, "A Study on the Optimization Plan for Standardization of Engineering Drawing", Journal the Korean Society of Industry Convergence, Vol. 23, No. 1, pp. 57-64, (2020). https://doi.org/10.21289/KSIC.2020.23.1.57
  7. Tedric A. Harris, Michael N. Kotzalas, "Essential Concepts of Bearing Technology", CRC Press, pp. 10-39, (2006).