Data-driven Maintenance
Data-Driven Maintenance is a maintenance strategy that belongs to the class of condition-based maintenance approaches, distinguished by its reliance on empirical data and analytical techniques to autonomously inform maintenance decisions without requiring explicit physical models of system degradation.
302
Publications
16.7K
Citations
966
Authors
385
Institutions
Publications per year
2017–2026
197
Parents
302
1–5 of 302
966
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385
Politecnico di Milano
Milan, Italy
10 h-index
24 publications
1K citations
Chalmers University of Technology
Gothenburg, Sweden
8 h-index
25 publications
2.3K citations
Luleå University of Technology
Luleå, Sweden
7 h-index
19 publications
692 citations

Delft University of Technology
Delft, The Netherlands
6 h-index
20 publications
1.3K citations

TU Wien
Vienna, Austria
6 h-index
17 publications
1.1K citations
Université de Lorraine
Nancy, France
6 h-index
19 publications
557 citations
Texas A&M University
College Station, United States
5 h-index
11 publications
295 citations
Fraunhofer Austria
Vienna, Austria
5 h-index
16 publications
1.1K citations
1–8 of 385
16 publications · 1.1K citations
14
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JQME · 11 publications · 545 citations
11
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9 publications · 296 citations
9
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7 publications · 205 citations
7
h-index
7 publications · 601 citations
7
h-index
1–5