Enhanced Temporal Convolutional Network Based Approach for Degrada-tion Prediction of Reverse Osmosis Systems

Reverse Osmosis (RO) degradation underscores the importance of predictive capabilities to develop optimal maintenance strategies that minimize losses. In this study, we develop a Temporal Convolutional Network (TCN) model to predict the RO system states using the primary indicator for RO analysis: t...

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書誌詳細

主要な著者:	The-Son Phan, Thanh-Ha Do, Phuc Do
フォーマット:	Artigo
言語:	Inglês
出版事項:	Ram Arti Publishers 2026-04-01
シリーズ:	International Journal of Mathematical, Engineering and Management Sciences
主題:	degradation forecasting reverse osmosis system deep learning filters
オンライン･アクセス:	https://www.ijmems.in/cms/storage/app/public/uploads/volumes/22-IJMEMS-25-0620-11-2-525-544-2026.pdf
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