Markov Chain Neighborhood Sparse Preserving Graph Embedding Based on Tensor Factorization for Batch Process Monitoring

Markov Chain Neighborhood Sparse Preserving Graph Embedding Based on Tensor Factorization for Batch Process Monitoring

If the three-dimension data of batch process are unfolded the two-dimension data, some important information would lose, and outliers such as noise would lead to poor monitoring results. Therefore, a Markov chain neighborhood sparse preserving graph embedding algorithm based on tensor factorization...

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Bibliographic Details
Main Authors: Xiaoqiang Zhao, Miao Mou
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Batch process monitoring
finite Markov chain
graph embedding
neighborhood preserving embedding
sparse representation
tensor factorization
Online Access:https://ieeexplore.ieee.org/document/9328089/

Internet

https://ieeexplore.ieee.org/document/9328089/

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