Industrial Process Monitoring Based on Collaborative Structure Projection-Reference-Cited by-同舟云学术

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Industrial Process Monitoring Based on Collaborative Structure Projection

Published:2024 Issue: Volume:73 Page:1-9
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Zheng Jian¹^ORCID,Zhang Yingwei²^ORCID,Bi Zhuming³^ORCID

Affiliation:

1. College of Information Science and Engineering, Northeastern University, Shenyang, China

2. State Laboratory of Synthesis Automation of Process Industry, Northeastern University, Shenyang, China

3. Department of Civil and Mechanical Engineering, Purdue University Fort Wayne, Fort Wayne, IN, USA

Funder

Liaoning Revitalization Talents Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/19/10367905/10555442.pdf?arnumber=10555442

Reference33 articles.

1. Distributed Quality-Related Process Monitoring Framework Using Parallel DVIB-VAE-mRMR for Large-Scale Processes

2. Distributed Robust Process Monitoring Based on Optimized Denoising Autoencoder With Reinforcement Learning

3. Toward Multimode Process Monitoring: A Scheme Based on Kernel Entropy Component Analysis

4. Dynamic System Fault Diagnosis Under Sparseness Assumption

5. A fault detection and reconfiguration approach for MPC-based energy management in an experimental microgrid

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1. Electrostatic Signal Self-Adaptive Denoising Method Combined with CEEMDAN and Wavelet Threshold;Aerospace;2024-06-19

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