Sensor Redundancy Management
Sensor Redundancy Management is a fault-tolerant control strategy that systematically organizes and utilizes multiple redundant sensors within an air data system to ensure reliable and accurate measurements by detecting, isolating, and compensating for sensor faults while maintaining system integrity and performance.
47
Publications
1.5K
Citations
135
Authors
61
Institutions
Publications per year
2017–2026
7
47
1–5 of 47
135
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61

Draper Laboratory
Cambridge, United States
3 h-index
3 publications
60 citations

Pennsylvania State University
State College, United States
2 h-index
3 publications
204 citations

Glenn Research Center
Cleveland, United States
2 h-index
3 publications
80 citations

Southern Illinois University Carbondale
Carbondale, United States
2 h-index
3 publications
90 citations
ScienceSouth
Florence, United States
2 h-index
3 publications
90 citations
IIT@MIT
Cambridge, United States
2 h-index
3 publications
62 citations
Massachusetts Institute of Technology
Cambridge, United States
2 h-index
3 publications
56 citations
University of Illinois Urbana-Champaign
Urbana, United States
2 h-index
3 publications
78 citations
1–8 of 61
2 publications · 71 citations
2
h-index
2 publications · 90 citations
2
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2 publications · 136 citations
2
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1 publications · 15 citations
1
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Conference · 1 publications · 10 citations
1
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1–5