Fault Detection in Industrial Wastewater Treatment Processes Using Manifold Learning and Support Vector Data Description-Reference-Cited by-同舟云学术

Fault Detection in Industrial Wastewater Treatment Processes Using Manifold Learning and Support Vector Data Description

Published:2024-08-22 Issue:35 Volume:63 Page:15562-15574
ISSN:0888-5885
Container-title:Industrial & Engineering Chemistry Research
language:en
Short-container-title:Ind. Eng. Chem. Res.

Author:

Chang Tian¹,Liu Tianlong²^ORCID,Ma Xiaobo¹,Wu Qiyue¹,Wang Xinyuan¹,Cheng Jinlan¹,Wei Wenguang³⁴,Zhang Fengshan³⁴,Liu Hongbin¹⁵³^ORCID

Affiliation:

1. Jiangsu Co-Innovation Center of Efficient Processing and Utilization of Forest Resources, Nanjing Forestry University, Nanjing 210037, China

2. Department of Chemical and Biochemical Engineering, Western University, London N6A 3K7, Canada

3. Shandong Huatai Paper Co., Ltd., Dongying 257335, China

4. Shandong Yellow Triangle Biotechnology Industry Research Institute Co., Ltd., Dongying 257399, China

5. Guangxi Key Laboratory of Clean Pulp & Papermaking and Pollution Control, College of Light Industry and Food Engineering, Guangxi University, Nanning 530004, China

Funder

Guangxi Key Laboratory of Clean Pulp and Papermaking and Pollution Control

Natural Science Foundation of Jiangsu Province

Natural Science Foundation of Shandong Province

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.iecr.4c00424

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4. Unsupervised learning for fault detection and diagnosis of air handling units