Online Fault Detection
Online Fault Detection is a fault detection approach that continuously monitors system behavior in real time to identify anomalies as they occur, distinguishing itself from offline methods by its immediate, on-the-fly analysis of operational data.
885
Publications
41.9K
Citations
2.7K
Authors
849
Institutions
Publications per year
2017–2026
341
Parents
885
Detecting large-scale system problems by mining console logs
Wei Xu, Ling Huang, Armando Fox et al. · 2009 · 1.3K citations
Mien Van, Shuzhi Sam Ge, Hongliang Ren · IEEE Transactions on Cybernetics · 2016 · 473 citations
Engineering, Mechatronics Engineering, Robotics Engineering +17
Online wind turbine fault detection through automated SCADA data analysis
A. Zaher, S.D.J. McArthur, David Infield et al. · Wind Energy · 2009 · 467 citations · Full text
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Tsinghua University
Beijing, China
18 h-index
52 publications
3K citations
State Key Laboratory of Industrial Control Technology
Hangzhou, China
14 h-index
31 publications
1.4K citations
Georgia Institute of Technology
Atlanta, United States
12 h-index
39 publications
2.5K citations

Shanghai Jiao Tong University
Shanghai, China
11 h-index
32 publications
1.1K citations
National University of Singapore
Singapore, Singapore
10 h-index
27 publications
2K citations

University of Coimbra
Coimbra, Portugal
10 h-index
19 publications
1.8K citations

Harbin Institute of Technology
Harbin, China
10 h-index
31 publications
1.4K citations
Henan Normal University
Xinxiang, China
10 h-index
25 publications
1.4K citations
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28 publications · 2.6K citations
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24 publications · 1.7K citations
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16 publications · 814 citations
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17 publications · 1.3K citations
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14 publications · 1.5K citations
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