Automatic Fault Detection Systems
Automatic Fault Detection Systems is a diagnostic framework that autonomously identifies operational anomalies and performance deviations in HVAC systems through continuous data monitoring and analytical algorithms, distinguishing itself from manual or rule-based approaches by its reliance on automated, often model- or data-driven, fault detection logic.
205
Publications
10.7K
Citations
674
Authors
283
Institutions
Publications per year
2017–2026
99
Variants
AfdsAutomated Fault Detection Systems
Parents
205
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
1–5 of 205
674
Pacific Northwest National Laboratory, United States
5 publications · 1.3K citations
5
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5
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Pacific Northwest National Laboratory, United States
4 publications · 1.3K citations
4
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3
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3
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1–5 of 674
283

Hong Kong Polytechnic University
Hong Kong, Hong Kong
5 h-index
13 publications
722 citations

Shanghai Jiao Tong University
Shanghai, China
4 h-index
7 publications
471 citations

University of Strathclyde
Glasgow, United Kingdom
4 h-index
10 publications
1.7K citations

National Laboratory of the Rockies
Golden, United States
4 h-index
13 publications
431 citations

University College Cork
Cork, Ireland
3 h-index
8 publications
386 citations

Halmstad University
Halmstad, Sweden
3 h-index
5 publications
288 citations
University of Nebraska–Lincoln
Lincoln, United States
3 h-index
7 publications
237 citations
Purdue University West Lafayette
West Lafayette, United States
3 h-index
3 publications
208 citations
1–8 of 283
12 publications · 685 citations
10
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8 publications · 1.5K citations
8
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5 publications · 243 citations
5
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4 publications · 184 citations
4
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4 publications · 143 citations
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1–5