Monitoring of papermaking wastewater treatment processes using t-distributed stochastic neighbor embedding-Reference-Cited by-同舟云学术

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Monitoring of papermaking wastewater treatment processes using t-distributed stochastic neighbor embedding

Published:2021-12 Issue:6 Volume:9 Page:106559
ISSN:2213-3437
Container-title:Journal of Environmental Chemical Engineering
language:en
Short-container-title:Journal of Environmental Chemical Engineering

Author:

Ma Xiaobo,Zhang Yuchen,Zhang Fengshan,Liu Hongbin

Publisher

Elsevier BV

Subject

Process Chemistry and Technology,Pollution,Waste Management and Disposal,Chemical Engineering (miscellaneous)

Reference40 articles.

1. Review of recent research on data-based process monitoring;Ge;IEEE Trans. Autom. Sci. Eng.,2013

2. Multi-model statistical process monitoring and diagnosis of a sequencing batch reactor;Yoo;Biotechnol. Bioeng.,2007

3. Input-output networks considering graphlet-based analysis for production optimization: application in ethylene plants;Wang;J. Clean. Prod.,2021

4. A review of process fault detection and diagnosis Part I: quantitative model-based methods;Venkatasubramanian;Comput. Chem. Eng.,2003

5. Multimode process monitoring with Bayesian inference-based finite Gaussian mixture models;Yu;AICHE J.,2008

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1. Fault Detection in Industrial Wastewater Treatment Processes Using Manifold Learning and Support Vector Data Description;Industrial & Engineering Chemistry Research;2024-08-22

2. Multi-source and multimodal data fusion for improved management of a wastewater treatment plant;Journal of Environmental Chemical Engineering;2023-12

3. A rotating machinery fault feature extraction approach based on an adaptive wavelet denoising method and synthetic detection index;Measurement Science and Technology;2023-03-31

4. Fault Type Diagnosis of the WWTP Dissolved Oxygen Sensor Based on Fisher Discriminant Analysis and Assessment of Associated Environmental and Economic Impact;Applied Sciences;2023-02-16

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