Process Fault Detection
Process Fault Detection is a systematic analytical framework within process analytical chemistry that enables the identification and diagnosis of deviations from normal operating conditions in industrial processes through real-time monitoring and statistical analysis of process data.
2.3K
Publications
124.4K
Citations
4.2K
Authors
1.1K
Institutions
Publications per year
2017–2026
1K
2.3K
Statistical process monitoring: basics and beyond
S. Joe Qin · Journal of Chemometrics · 2003 · 1.6K citations
Engineering, Industrial Engineering, Systems Engineering +16
1–5 of 2.3K
4.2K
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27
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1.1K
East China University of Science and Technology
Shanghai, China
42 h-index
286 publications
12.6K citations
Tsinghua University
Beijing, China
41 h-index
207 publications
14.7K citations
State Key Laboratory of Industrial Control Technology
Hangzhou, China
39 h-index
162 publications
11.7K citations

Northeastern University
Shenyang, China
33 h-index
198 publications
9.3K citations

University of Science and Technology Beijing
Beijing, China
33 h-index
179 publications
7.5K citations

Central South University
Changsha, China
30 h-index
150 publications
10K citations

Zhejiang University
Hangzhou, China
30 h-index
125 publications
6.4K citations

Zhejiang University of Technology
Hangzhou, China
30 h-index
153 publications
9.9K citations
1–8 of 1.1K
182 publications · 9.7K citations
48
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106 publications · 8.7K citations
45
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68 publications · 9.4K citations
44
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93 publications · 7.3K citations
43
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49 publications · 5.8K citations
40
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1–5