SOM-based visualization monitoring and fault diagnosis for chemical process-Reference-Cited by-同舟云学术

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SOM-based visualization monitoring and fault diagnosis for chemical process

Published:2016-05 Issue: Volume: Page:
ISSN:
Container-title:2016 Chinese Control and Decision Conference (CCDC)
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Author:

Zhong Bin,Wang Jing,Wu Haiyan,Zhou Jinglin,Jin Qibing

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/7510582/7530943/07532043.pdf?arnumber=7532043

Cited by 8 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 Novel Fault Diagnosis Method based on Bayesian Optimized Multi-Scale Convolutional Neural Network in Chemical Processes;2023 China Automation Congress (CAC);2023-11-17

2. One step forward for smart chemical process fault detection and diagnosis;Computers & Chemical Engineering;2022-08

3. Machine Learning Algorithms Used in PSE Environments: A Didactic Approach and Critical Perspective;Industrial & Engineering Chemistry Research;2022-05-24

4. OFViser: An Interactive Visual System for Spatiotemporal Analysis of Ocean Front;2020 11th International Conference on Awareness Science and Technology (iCAST);2020-12-07

5. A review of data-driven fault detection and diagnosis methods: applications in chemical process systems;Reviews in Chemical Engineering;2020-05-26

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