On unifying multiblock analysis with application to decentralized process monitoring
By S. Qin, Sergio Valle, M. Piovoso. 2001
359 citations recorded by the source corpus.
Subfields: Analytical Chemistry, Control and Systems Engineering, Mechanical Engineering
View Paper: https://www.semanticscholar.org/paper/3da74c14b44a5c3125b4cba55520fc72ada1838c
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Analytical Chemistry
- S. Qin
- Theodora Kourti
- Julien Boccard
- Serge Rudaz
- Bin Jiang
- Hongtian Chen
- Steven X. Ding
- Haitao Zhao
In Control and Systems Engineering
- S. Qin
- Theodora Kourti
- Julien Boccard
- Serge Rudaz
- Steven X. Ding
- Bin Jiang
- Hongtian Chen
- Zhiqiang Ge
In Mechanical Engineering
Citations in the corpus
- Application of latent variable methods to process control and multivariate statistical process control in industry (2005, methodology): “The reader can consult [70,71], where all of the algorithms are presented and compared.”
- Survey on data-driven industrial process monitoring and diagnosis (2012, methodology): “, 1998; Yao & Gao, 2009) and hierarchical contribution plots are very effective (Qin et al., 2001).”
- Harnessing the complexity of metabolomic data with chemometrics (2014, methodology): “hierarchical PCA [42], multivariate component models [43], mul-”