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- W3103677657 abstract "A fault detection model for air handling units (AHU) is proposed in this study based on machine learning methods. The hyperparaters of the model is tuned by the grid search method. The training accuracy, test accuracy, recall, precision, and F1 score are evaluated for this model. The result demonstrates that the model is robust enough to detect the fault for AHU with test accuracy and F1 score of 99.58% and 99.51%, respectively." @default.
- W3103677657 created "2020-11-23" @default.
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- W3103677657 date "2020-10-18" @default.
- W3103677657 modified "2023-10-15" @default.
- W3103677657 title "A fault detection model for air handling units based on the machine learning algorithms" @default.
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- W3103677657 doi "https://doi.org/10.1109/iecon43393.2020.9254466" @default.
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