FAULT DIAGNOSIS OF UNBALANCED DATA OF CHILLERS BASED ON XGBOOST

FAULT DIAGNOSIS OF UNBALANCED DATA OF CHILLERS BASED ON XGBOOST

The chiller operating data has unbalanced,non-Gaussian,non-linear,noise-containing characteristics,which poses a challenge for data-based chiller fault diagnosis.Aiming at these characteristics,a chiller fault diagnosis method based on Minority Oversampling under Local Area Density and e Xtreme Grad...

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Bibliographic Details
Main Authors: PAN Jin, DING Qiang, JIANG AiPeng, CHEN YueZen, XIA YuDong
Format: Article
Language:zho
Published: Editorial Office of Journal of Mechanical Strength 2021-01-01
Series:Jixie qiangdu
Subjects:
Fault diagnosis;Chiller;Extreme gradient boosting;Unbalanced data;Oversampling
Online Access:http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2021.01.004

Internet

http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2021.01.004

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