Residual-based Detection
Residual-Based Detection is a fault detection method that identifies system anomalies by analyzing the residual signal, which represents the discrepancy between the actual system output and the predicted output generated by a nominal model.
90
Publications
6.1K
Citations
268
Authors
138
Institutions
Publications per year
2017–2026
40
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138

University of Duisburg-Essen
Essen, Germany
7 h-index
20 publications
387 citations

University of Naples Federico II
Naples, Italy
3 h-index
9 publications
1.4K citations

North China University of Technology
Beijing, China
3 h-index
5 publications
421 citations
Queen's University
Kingston, Canada
3 h-index
3 publications
2.5K citations

Beijing Institute of Technology
Beijing, China
3 h-index
8 publications
386 citations
University of New Brunswick
Fredericton, Canada
3 h-index
4 publications
82 citations
University of Louisiana at Lafayette
Lafayette, United States
3 h-index
4 publications
47 citations

KTH Royal Institute of Technology
Stockholm, Sweden
2 h-index
4 publications
147 citations
1–8 of 138
4 publications · 183 citations
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3 publications · 128 citations
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2 publications · 51 citations
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2 publications · 49 citations
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2 publications · 53 citations
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