Data-driven Condition Assessment
Data-Driven Condition Assessment is a data-centric methodology within asset condition assessment that leverages empirical data, statistical analysis, and computational models to objectively evaluate the health and performance state of physical assets without reliance on purely heuristic or rule-based judgments.
41
Publications
1.4K
Citations
151
Authors
80
Institutions
Publications per year
2017–2026
27
Parents
41
Data analytics for predictive maintenance of industrial robots
Tawfik Borgi, Adel Hidri, Benjamin Neef et al. · 2017 · 108 citations
Engineering, Industrial Engineering, Mechanical Engineering +14
1–5 of 41
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80

North China Electric Power University
Beijing, China
2 h-index
5 publications
146 citations

Zhejiang University
Hangzhou, China
2 h-index
7 publications
149 citations

Stockholm University
Stockholm, Sweden
1 h-index
1 publications
13 citations

University of Toronto
Toronto, Canada
1 h-index
1 publications
87 citations
Indian Institute of Technology Delhi
New Delhi, India
1 h-index
2 publications
24 citations
Tunis University
Tunis, Tunisia
1 h-index
3 publications
324 citations
Kyung Hee University
Seoul, South Korea
1 h-index
1 publications
41 citations

Universidade do Porto
Porto, Portugal
1 h-index
1 publications
25 citations
1–8 of 80
TRR · 3 publications · 44 citations
3
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2 publications · 163 citations
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2 publications · 92 citations
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2 publications · 94 citations
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2 publications · 66 citations
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1–5