Data-driven Fault Isolation
Data-Driven Fault Isolation is a fault isolation method that relies on empirical data and statistical or machine learning techniques to identify the root cause of system failures, distinguished from model-based or rule-based approaches by its dependence on observed operational data rather than predefined system models or expert-defined logic.
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170
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97
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2017–2026
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Data–Driven Fault Diagnosis of a Wind Farm Benchmark Model
Silvio Simani, Paolo Castaldi, Saverio Farsoni · Energies · 2017 · 110 citations · Full text
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University of Connecticut
Storrs, United States
4 h-index
11 publications
402 citations
University of California, Los Angeles
Los Angeles, United States
3 h-index
12 publications
272 citations

Qatar University
Doha, Qatar
3 h-index
3 publications
97 citations

Concordia University
Montreal, Canada
3 h-index
6 publications
296 citations

University of Duisburg-Essen
Essen, Germany
3 h-index
4 publications
713 citations
General Motors (United States)
Detroit, United States
3 h-index
7 publications
233 citations

University of Science and Technology Beijing
Beijing, China
3 h-index
4 publications
117 citations

University of Alberta
Edmonton, Canada
3 h-index
3 publications
365 citations
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4 publications · 131 citations
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2 publications · 116 citations
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2 publications · 105 citations
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MSSP · 2 publications · 130 citations
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2 publications · 80 citations
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