Hybrid Prognostics
Hybrid Prognostics is a predictive maintenance methodology that integrates data-driven and model-based approaches to jointly leverage empirical observations and physical system knowledge for improved degradation assessment and remaining useful life estimation.
129
Publications
9.4K
Citations
398
Authors
165
Institutions
Publications per year
2017–2026
80
Parents
129
1–5 of 129
398
4
h-index
Franche-Comté Électronique Mécanique Thermique et Optique - Sciences et Technologies, France
4 publications · 329 citations
4
h-index
4
h-index
University of Electronic Science and Technology of China, China
3 publications · 318 citations
3
h-index
3
h-index
1–5 of 398
165

Beihang University
Beijing, China
10 h-index
17 publications
770 citations

Centre National de la Recherche Scientifique
Paris, France
9 h-index
28 publications
2K citations

Xi'an Jiaotong University
Xi'an, China
7 h-index
23 publications
7.8K citations
Tsinghua University
Beijing, China
7 h-index
23 publications
519 citations
University of Maryland, College Park
College Park, United States
6 h-index
10 publications
560 citations

Ames Research Center
Mountain View, United States
6 h-index
8 publications
523 citations
Franche-Comté Électronique Mécanique Thermique et Optique - Sciences et Technologies
Besançon, France
5 h-index
14 publications
1.3K citations

University of Electronic Science and Technology of China
Chengdu, China
4 h-index
14 publications
693 citations
1–8 of 165
5 publications · 2.6K citations
5
h-index
5 publications · 149 citations
5
h-index
5 publications · 444 citations
5
h-index
5 publications · 345 citations
5
h-index
Conference · 4 publications · 63 citations
4
h-index
1–5