Artificial Neural Networks(ANN)and Kalman Filter Algorithms to Predict Output Temperatures on a Heat Exchanger

Tlatelpa-Becerro A; Rico-Martinez R; Castro-Gomez L

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Artificial Neural Networks(ANN)and Kalman Filter Algorithms to Predict Output Temperatures on a Heat Exchanger

机译：Artificial Neural Networks(ANN)and Kalman Filter Algorithms to Predict Output Temperatures on a Heat Exchanger

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Artificial neural networks(ANN)were applied for the prediction of the output temperature in a heat exchanger with triangular arrangement with air-water as work fluids,currently operating at a hydroelectric power plant.Four similar heat exchanger time data series were analyzed.A feed-forward ANN configuration was used to predict the output temperatures.The ANN was trained,tested and validated using the experimental time series.In order to test the robustness of the ANN scheme as a predictor,only data from three exchangers was used to train the ANN,while data from a fourth heat exchanger was used for validation.The ANN was also coupled to a Kalman Filter in order to improve the predictions.The scheme showed to be successful and can be used in real-time to handle slowly varying behavior due to fouling implicit in the operation of the exchangers.

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来源
《International Journal of Chemistry and Chemical Engineering》 |2021年第1期|29-39|共11页
作者
Tlatelpa-Becerro A; Rico-Martinez R; Castro-Gomez L;
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作者单位

Chemical Engineering Department,Instituto Tecnologico de Celaya,Antonio Garcia Cubas,Fovissste,Celaya Guanajuato,38010,Mexico;

Mechanical Engineering Department,Centro de Investigation en Ingenieria y Ciencias Aplicadas(CIICAp)-UAEM,Av.Universidad,Chamilpa,Cuernavaca Morelos,1001,Mexico;

Robotic Engineering Department,Escuela de Estitdios Superiores de Yecapixtla-UAEM,Av.Felix Arias,Quinta Section de los Amates,Yecapixtla Morelos,62820,Mexico;

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正文语种英语
中图分类化学工业;
关键词
Heat exchanger; Kalman filter; Neural networks; Time series;

Artificial Neural Networks(ANN)and Kalman Filter Algorithms to Predict Output Temperatures on a Heat Exchanger

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