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윤명섭(Myung-Sup Yoon),이동혁(Dong-Hyuk Yi),윤원식(Won-Sik Yoon),서명교(Myung-Kyo Seo),유승엽(Seung-Yup Ryu) 대한기계학회 2022 대한기계학회 춘추학술대회 Vol.2022 No.11
Supervised machine learning technique was applied to accurately predict the performance of the clean room air conditioner (CRAC) installed in the field. The performance of two neural networks was compared. One is the control group neural network using the laboratory sensor data and the other is the experimental group neural network using the product sensor data as an input. In both cases, they share laboratory performance results as an output label. Training data set of 2,816 combinations were acquired in the laboratory for the various indoor climate, outdoor climate and CRAC fan output conditions. When predicted with two trained ANNs, the control group showed better results thant the experimental group. In addition, the experimental group ANN performance prediction showed relatively more accurate results than the performance values calculated directly from the product sensors.
윤명섭(Myung-Sup Yoon),이동혁(Dong-Hyuk Yi),윤원식(Won-Sik Yoon),서명교(Myung-Kyo Seo),유승엽(Seung-Yup Ryu) 대한기계학회 2022 대한기계학회 춘추학술대회 Vol.2022 No.11
Supervised machine learning technique was applied to accurately predict the performance of the clean room air conditioner (CRAC) installed in the field. The performance of two neural networks was compared. One is the control group neural network using the laboratory sensor data and the other is the experimental group neural network using the product sensor data as an input. In both cases, they share laboratory performance results as an output label. Training data set of 2,816 combinations were acquired in the laboratory for the various indoor climate, outdoor climate and CRAC fan output conditions. When predicted with two trained ANNs, the control group showed better results thant the experimental group. In addition, the experimental group ANN performance prediction showed relatively more accurate results than the performance values calculated directly from the product sensors.