Data-driven Diagnosis
Data-Driven Diagnosis is a formal diagnostic approach within hybrid, maintenance, robot, and sensor diagnostics that relies on empirical data and statistical or machine learning models to identify, isolate, or characterize system faults or anomalies without requiring explicit analytical models of system behavior.
403
Publications
28K
Citations
1.5K
Authors
543
Institutions
Publications per year
2017–2026
321
403
1–5 of 403
1.5K
7
h-index
6
h-index
5
h-index
4
h-index
4
h-index
1–5 of 1.5K
543

Huazhong University of Science and Technology
Wuhan, China
13 h-index
48 publications
14.1K citations

Northeastern University
Shenyang, China
11 h-index
27 publications
1.3K citations
Tsinghua University
Beijing, China
10 h-index
19 publications
1.3K citations

Xi'an Jiaotong University
Xi'an, China
10 h-index
20 publications
1.6K citations

Southwest Jiaotong University
Chengdu, China
10 h-index
38 publications
2.9K citations
Beijing Jiaotong University
Beijing, China
9 h-index
28 publications
1.6K citations

University of Duisburg-Essen
Essen, Germany
9 h-index
20 publications
7.8K citations

Harbin Institute of Technology
Harbin, China
9 h-index
27 publications
3.4K citations
1–8 of 543
18 publications · 2K citations
18
h-index
15 publications · 3.5K citations
15
h-index
14 publications · 1.2K citations
14
h-index
13 publications · 829 citations
13
h-index
15 publications · 858 citations
13
h-index
1–5