Multirate Nonlinear Process Fault Detection Based on Multiscale Hierarchical Variational Autoencoder-Reference-Cited by-同舟云学术

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Multirate Nonlinear Process Fault Detection Based on Multiscale Hierarchical Variational Autoencoder

Published:2024-05-15 Issue:10 Volume:24 Page:16467-16477
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Shen Bingbing¹^ORCID,Qian Jinchuan²^ORCID,Yang Zeyu³^ORCID,Yao Le¹^ORCID

Affiliation:

1. School of Mathematics, Hangzhou Normal University, Hangzhou, China

2. State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University, Hangzhou, China

3. Huzhou Key Laboratory of Intelligent Sensing and Optimal Control for Industrial Systems, School of Engineering, Huzhou University, Huzhou, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Zhejiang Province

Huzhou Key Laboratory of Intelligent Sensing and Optimal Control for Industrial Systems

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/7361/10530892/10494698.pdf?arnumber=10494698

Reference32 articles.

1. Data-driven design of monitoring and diagnosis systems for dynamic processes: A review of subspace technique based schemes and some recent results

2. A Review on Soft Sensors for Monitoring, Control, and Optimization of Industrial Processes

3. KSLD-TNet: Key Sample Location and Distillation Transformer Network for Multistep Ahead Prediction in Industrial Processes

4. Fault Detection in Wireless Sensor Networks Through SVM Classifier

5. Fault detection and diagnosis in a cement rotary kiln using PCA with EWMA-based adaptive threshold monitoring scheme

Cited by 1 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. Global Dependency Graph Network for Soft Sensing in Process Industry;IEEE Sensors Journal;2024-08-15

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