Data-driven techniques for fault detection in anaerobic digestion process-Reference-Cited by-同舟云学术

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Data-driven techniques for fault detection in anaerobic digestion process

Published:2021-02 Issue: Volume:146 Page:905-915
ISSN:0957-5820
Container-title:Process Safety and Environmental Protection
language:en
Short-container-title:Process Safety and Environmental Protection

Author:

Kazemi Pezhman^ORCID,Bengoa Christophe,Steyer Jean-Philippe,Giralt Jaume^ORCID

Funder

Universitat Rovira i Virgili

Ministerio de Economía y Competitividad

Publisher

Elsevier BV

Subject

Safety, Risk, Reliability and Quality,General Chemical Engineering,Environmental Chemistry,Environmental Engineering

Reference43 articles.

1. Extreme Learning Machines: a new approach for prediction of reference evapotranspiration;Abdullah;J. Hydrol.,2015

2. Interval-based diagnosis of biological systems – a powerful tool for highly uncertain anaerobic digestion processes;Alcaraz-González;CLEAN - Soil, Air, Water,2012

3. Comparison of data-driven reconstruction methods for fault detection;Baraldi;IEEE Trans. Reliab.,2015

4. Random search for hyper-parameter optimization Yoshua Bengio;Bergstra;J. Mach. Learn. Res.,2012

5. Fault detection, identification and diagnosis using CUSUM based PCA;Bin Shams;Chem. Eng. Sci.,2011

Cited by 51 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A robust neural network model for fault detection in the presence of mislabelled data;The Canadian Journal of Chemical Engineering;2024-01-23

2. Biogas production prediction model of food waste anaerobic digestion for energy optimization using mixup data augmentation-based global attention mechanism;Environmental Science and Pollution Research;2024-01-06

3. Real-time operation of municipal anaerobic digestion using an ensemble data mining framework;Bioresource Technology;2024-01

4. A Systematic Review of Machine-Learning Solutions in Anaerobic Digestion;Bioengineering;2023-12-11

5. An adaptive imbalance modified online broad learning system-based fault diagnosis for imbalanced chemical process data stream;Expert Systems with Applications;2023-12

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