High-dimensional Process Monitoring
High-Dimensional Process Monitoring is a statistical process control methodology designed for monitoring processes characterized by a large number of interrelated quality variables, where dimensionality poses challenges to traditional monitoring techniques in terms of estimation accuracy, computational efficiency, and false alarm rates.
91
Publications
5K
Citations
240
Authors
114
Institutions
Publications per year
2017–2026
64
Parents
91
Process Monitoring and Modeling Using the Self-Organizing Map
Esa Alhoniemi, Jaakko Hollmén, Olli Simula et al. · Integrated Computer-Aided Engineering · 1999 · 206 citations
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114

University of Coimbra
Coimbra, Portugal
6 h-index
11 publications
397 citations
East China University of Science and Technology
Shanghai, China
6 h-index
12 publications
329 citations
State Key Laboratory of Industrial Control Technology
Hangzhou, China
4 h-index
9 publications
1.3K citations
Virginia Tech
Blacksburg, United States
4 h-index
4 publications
449 citations
Tsinghua University
Beijing, China
4 h-index
5 publications
472 citations
Georgia Institute of Technology
Atlanta, United States
4 h-index
10 publications
754 citations

Central South University
Changsha, China
3 h-index
15 publications
886 citations

Shanghai Jiao Tong University
Shanghai, China
3 h-index
3 publications
71 citations
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11 publications · 1.1K citations
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8 publications · 234 citations
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4 publications · 637 citations
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3 publications · 67 citations
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3 publications · 115 citations
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