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

Xinfeng Jin, Chen Li, Dongyang Li, Junjie Zeng, Qinye Wang and Zhiwen Chen

Mathematical Problems in Engineering, 2022, vol. 2022, 1-6

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.

Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:9939667

DOI: 10.1155/2022/9939667

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