Automated Fault Detection is a systematic method for identifying anomalies or failures within a networked system through predefined algorithms and real-time data analysis, distinguished by its capacity to operate without human intervention across domains such as Cloud Network Automation, Subsea Monitoring, and Vehicle Network Diagnostics.
359
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450
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Publications per year
2017–2026
143
Publications
359
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
Failure diagnosis using decision trees
Mike Y. Chen, Angang Zheng, Jim Lloyd et al. · 2004 · 424 citations
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Universidad de Málaga
Málaga, Spain
7 h-index
22 publications
856 citations
Carnegie Mellon University
Pittsburgh, United States
7 h-index
17 publications
582 citations
Stanford University
Stanford, United States
6 h-index
12 publications
993 citations
University of Strathclyde
Glasgow, United Kingdom
6 h-index
22 publications
2.2K citations
AT&T (United States)
Bedminster, United States
5 h-index
16 publications
780 citations
Princeton University
Princeton, United States
4 h-index
14 publications
416 citations
Purdue University West Lafayette
West Lafayette, United States
4 h-index
7 publications
154 citations
Hong Kong Polytechnic University
Hong Kong, Hong Kong
4 h-index
11 publications
715 citations
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- IEEE Access
5 publications · 401 citations
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- IEEE Transactions on Power Delivery
5 publications · 240 citations
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- IEEE Transactions on Instrumentation and Measurement
4 publications · 157 citations
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- IEEE Transactions on Computers
4 publications · 527 citations
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