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Research on the Selection of Factors in a Traction Fault Elevator Based on PCA and a Rough Set

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  • Xinfeng Jin
  • Chen Li
  • Dongyang Li
  • Junjie Zeng
  • Qinye Wang
  • Zhiwen Chen

Abstract

To the problem of large subjectivity in existing index screening methods, this paper uses principal component analysis and the rough set method to select faulty factors in a traction fault elevator, eliminate the unrelated and unimportant indices, and then set up 4 main indices: rated parameter, running environment, manufacturing maintenance condition, and man-machine factor; and 10 two-grade fingers, including rated load, use unit, and manufacturing unit, which constitute a traction failure elevator factor index system, provide a new train of thought and method for the research and analysis of traction fault elevators.

Suggested Citation

  • Xinfeng Jin & Chen Li & Dongyang Li & Junjie Zeng & Qinye Wang & Zhiwen Chen, 2022. "Research on the Selection of Factors in a Traction Fault Elevator Based on PCA and a Rough Set," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-6, May.
    • Handle: RePEc:hin:jnlmpe:9939667
    DOI: 10.1155/2022/9939667
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