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Least squares support vector machine (LS-SVM)-based chiller fault diagnosis using fault indicative features
Authors:
Hua Han
,
Xiaoyu Cui
,
Yuqiang Fan
,
Hong Qing
-
Applied Thermal Engineering
2019
cited by 200
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Least squares support vector machine (LS-SVM)-based chiller fault diagnosis using fault indicative features | Litlas