Diagnostic Feature Extraction
Diagnostic Feature Extraction is a systematic process within diagnostic engineering that identifies and isolates measurable indicators from raw sensor or signal data to enable the detection, isolation, and assessment of faults or degradation in components such as actuators, batteries, and hybrid systems.
790
Publications
30.4K
Citations
2.7K
Authors
787
Institutions
Publications per year
2017–2026
517
790
Yann Qi Chen, Olga Fink, Giovanni Sansavini · IEEE Transactions on Industrial Electronics · 2017 · 255 citations · Full text
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787

Xi'an Jiaotong University
Xi'an, China
18 h-index
86 publications
3.4K citations

Shanghai Jiao Tong University
Shanghai, China
16 h-index
49 publications
2.1K citations

Huazhong University of Science and Technology
Wuhan, China
15 h-index
34 publications
2.2K citations

Beihang University
Beijing, China
14 h-index
55 publications
4.2K citations

Chongqing University
Chongqing, China
13 h-index
45 publications
2.3K citations
Tsinghua University
Beijing, China
13 h-index
38 publications
1.6K citations

Northwestern Polytechnical University
Xi'an, China
13 h-index
25 publications
1.2K citations

Harbin Institute of Technology
Harbin, China
12 h-index
28 publications
812 citations
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41 publications · 1.9K citations
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21 publications · 883 citations
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26 publications · 1.1K citations
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18 publications · 1.1K citations
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16 publications · 2.1K citations
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