Prescriptive Maintenance is a data-driven decision-support framework within IoT Analytics that not only predicts equipment failures and recommends maintenance actions but also prescribes optimal intervention strategies by evaluating multiple operational scenarios, constraints, and trade-offs.
35
Publications
1.6K
Citations
99
Authors
45
Institutions
Publications per year
2017–2026
33
Parents
Publications
35
Maintenance Analytics – The New Know in Maintenance
Ramin Karim, Jesper Westerberg, Diego Galar et al. · IFAC-PapersOnLine · 2016 · 95 citations · Full text
1–5 of 35
Authors
99
- RG
4
h-index
- FA
4
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- WS
3
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- TN
3
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- AP
2
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Institutions
45
TU Wien
Vienna, Austria
5 h-index
17 publications
1.5K citations
Fraunhofer Austria
Vienna, Austria
5 h-index
17 publications
1.4K citations
University of Genoa
Genoa, Italy
3 h-index
10 publications
338 citations
University of South Alabama
Mobile, United States
2 h-index
6 publications
123 citations
Thales (Portugal)
Paço de Arcos, Portugal
2 h-index
2 publications
37 citations
University of Calabria
Rende, Italy
2 h-index
11 publications
449 citations
Thales (France)
Paris, France
2 h-index
2 publications
37 citations
Austrian Institute of Technology
Vienna, Austria
2 h-index
4 publications
204 citations
1–8 of 45
Venues
- Procedia CIRP
4 publications · 185 citations
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- IFAC-PapersOnLine
3 publications · 141 citations
4
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- Measurement Science and Technology
1 publications · 25 citations
1
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- International Journal of Computer Integrated Manufacturing
1 publications · 206 citations
1
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- CIRP Annals
1 publications · 119 citations
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