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

Xinfeng Jin; Chen Li; Dongyang LiJunjie ZengQinye WangZhiwen Chen

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

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

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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.

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来源
《Mathematical Problems in Engineering: Theory, Methods and Applications》 |2022年第20期|1.1-1.6|共6页
作者
Xinfeng Jin; Chen Li; Dongyang LiJunjie ZengQinye WangZhiwen Chen;
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作者单位

China Jiliang University Hangzhou 310018;

Hangzhou Special Equipment Inspection and Research Institute Hangzhou 310000;

Hangzhou Vocational & Technical College Hangzhou 310018;

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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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