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Keywords: long-short-term-memory
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Proceedings Papers
Proc. ASME. HT2022, ASME 2022 Heat Transfer Summer Conference, V001T20A001, July 11–13, 2022
Paper No: HT2022-80475
... is governed by APH operating conditions, flue gas composition and ambient conditions. We propose a physics-assisted Long-Short-Term-Memory (LSTM) network model to forecast the fouling of APH. A physics-based soft sensor, indicative of chemical deposition within the APH, is used as an additional feature...