Fault Isolation in Data-Driven Multivariate Process Monitoring
Author:
Funder
NASA
U.S. Air Force
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/87/7185486/07046376.pdf?arnumber=7046376
Cited by 11 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. Adaptive Multimode Process Monitoring Based on Mode-Matching and Similarity-Preserving Dictionary Learning;IEEE Transactions on Cybernetics;2022
2. Hierarchical Quality Monitoring for Large-Scale Industrial Plants With Big Process Data;IEEE Transactions on Neural Networks and Learning Systems;2021-08
3. A Sparse Dimensionality Reduction Approach Based on False Nearest Neighbors for Nonlinear Fault Detection;IEEE Transactions on Systems, Man, and Cybernetics: Systems;2021-08
4. Robust Fault Diagnosis for Adaptive Structures With Unknown Stochastic Disturbances;IEEE Transactions on Control Systems Technology;2021-05
5. A Correlation-Based Distributed Fault Detection Method and Its Application to a Hot Tandem Rolling Mill Process;IEEE Transactions on Industrial Electronics;2020-03
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