Predictive Failure Detection is a methodological framework within the domain of failure detection that distinguishes itself by employing data-driven models and temporal analysis to anticipate system faults prior to their occurrence, based on patterns and indicators in historical and real-time operational data.
27
Publications
1K
Citations
129
Authors
51
Institutions
Publications per year
2017–2026
9
Parents
Publications
27
Predicting Disk Replacement towards Reliable Data Centers
Mirela Botezatu, Ioana Giurgiu, Jasmina Bogojeska et al. · 2016 · 164 citations
Learning to predict train wheel failures
Chunsheng Yang, Sylvain Létourneau · 2005 · 74 citations · Full text
1–5 of 27
Authors
129
- ZZ
2
h-index
- SF
2
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- QG
2
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- SN
2
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- WJ
1
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1–5 of 129
Institutions
51
Volvo (Sweden)
Gothenburg, Sweden
2 h-index
3 publications
83 citations
Halmstad University
Halmstad, Sweden
2 h-index
8 publications
214 citations
ABB (India)
Bengaluru, India
1 h-index
1 publications
16 citations
University of Oxford
Oxford, United Kingdom
1 h-index
1 publications
48 citations
Boehringer Ingelheim (United Kingdom)
Bracknell, United Kingdom
1 h-index
1 publications
30 citations
Cubist Pharmaceuticals (United States)
Lexington, United States
1 h-index
1 publications
30 citations
New York University
New York, United States
1 h-index
2 publications
116 citations
University of California, Santa Barbara
Santa Barbara, United States
1 h-index
3 publications
48 citations
1–8 of 51
Venues
- Information
2 publications · 88 citations
2
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- International Journal of Computer Theory and Engineering
IJCTE · 1 publications · 12 citations
1
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- IEEE Transactions on Industry Applications
1 publications · 21 citations
1
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- Proceedings of the Royal Society of London A Mathematical and Physical Sciences
1 publications · 48 citations
1
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- Therapeutic Innovation & Regulatory Science
TIRS · 1 publications · 30 citations
1
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