RF‐LSTM‐based method for prediction and diagnosis of fouling in heat exchanger-Reference-Cited by-同舟云学术

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RF‐LSTM‐based method for prediction and diagnosis of fouling in heat exchanger

Published:2021-07-16 Issue:5 Volume:16 Page:
ISSN:1932-2135
Container-title:Asia-Pacific Journal of Chemical Engineering
language:en
Short-container-title:Asia‐Pac J Chem Eng

Author:

Madhu P.K. Resma¹^ORCID,Subbaiah Jayalalitha¹,Krithivasan Kannan²

Affiliation:

1. School of Electrical and Electronics Engineering SASTRA Deemed University Thanjavur India

2. School of Education SASTRA Deemed University Thanjavur India

Publisher

Wiley

Subject

Waste Management and Disposal,Renewable Energy, Sustainability and the Environment,General Chemical Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/apj.2684

Reference52 articles.

1. Review of common failures in heat exchangers – Part I: Mechanical and elevated temperature failures

2. KannaiyanS BhadkeAA.Soft computing for industrial heat exchanger. 2019 5th Indian Control Conf ICC 2019 ‐ Proc.2019;(Icc):34–38.https://doi.org/10.1109/INDIANCC.2019.8715599

3. Fouling potential prediction and multi-objective optimization of a flue gas heat exchanger using neural networks and genetic algorithms

4. Online Fouling Detection of Domestic Hot Water Heat Exchangers

5. Heat Exchangers Fouling, Cleaning and Maintenance

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