Knowledge-based Fault Detection
Knowledge-Based Fault Detection is a fault detection method that relies on domain-specific knowledge, such as logical rules, expert systems, or qualitative models, to identify anomalies by reasoning about system behavior rather than purely data-driven or statistical analysis.
270
Publications
16.5K
Citations
890
Authors
307
Institutions
Publications per year
2017–2026
102
Parents
270
1–5 of 270
890
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307

Xi'an Jiaotong University
Xi'an, China
7 h-index
29 publications
2K citations

Northwestern Polytechnical University
Xi'an, China
6 h-index
18 publications
693 citations

Technische Universität Darmstadt
Darmstadt, Germany
6 h-index
9 publications
575 citations

Zhejiang University
Hangzhou, China
6 h-index
29 publications
966 citations
The University of Tokyo
Tokyo, Japan
5 h-index
11 publications
942 citations

University of Manchester
Manchester, United Kingdom
5 h-index
8 publications
273 citations

South China University of Technology
Guangzhou, China
5 h-index
20 publications
1.6K citations

Harbin Institute of Technology
Harbin, China
4 h-index
8 publications
1.1K citations
1–8 of 307
8 publications · 209 citations
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9 publications · 326 citations
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7 publications · 348 citations
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7 publications · 503 citations
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6 publications · 220 citations
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