Residual-based Fault Detection
Residual-Based Fault Detection is a diagnostic method in HVAC system analysis that belongs to the class of model-based fault detection techniques, differentiating itself by identifying faults through the analysis of residuals generated from discrepancies between measured system outputs and those predicted by a mathematical model of normal operation.
180
Publications
10.1K
Citations
456
Authors
234
Institutions
Publications per year
2017–2026
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234

University of Duisburg-Essen
Essen, Germany
12 h-index
17 publications
1.1K citations

Harbin Institute of Technology
Harbin, China
9 h-index
21 publications
1.4K citations

Linköping University
Linköping, Sweden
8 h-index
16 publications
704 citations
Tsinghua University
Beijing, China
6 h-index
13 publications
994 citations
Technical University of Denmark
Kongens Lyngby, Denmark
5 h-index
6 publications
226 citations

Peking University
Beijing, China
4 h-index
5 publications
439 citations

Centre National de la Recherche Scientifique
Paris, France
4 h-index
12 publications
917 citations
Universitat Politècnica de Catalunya
Barcelona, Spain
4 h-index
12 publications
416 citations
1–8 of 234
7 publications · 405 citations
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7 publications · 235 citations
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7 publications · 538 citations
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5 publications · 298 citations
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5 publications · 60 citations
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