Comparison of immunity-based schemes for aircraft failure detection and identification

Engineering Applications of Artificial Intelligence

Volumn 52, Issue , 2016, Pages 181-193

  Azzawi, Dia Al ^a,c   Moncayo, Hever ^b,d   Perhinschi, Mario G ^a   Perez, Andres ^b,d   Togayev, Adil ^a,c  

^a WEST VIRGINIA UNIVERSITY   (United States)

^b EMBRY RIDDLE AERONAUTICAL UNIVERSITY   (United States)

^c 430K Olin Hall   (United States)

^d Dept of Aerospace Engineering ^*  (United States)

Author keywords

Aircraft subsystems failures; Artificial immune system; Artificial intelligence; Bioinspired failure detection; Fault identification

Indexed keywords

AIRCRAFT DETECTION; ARTIFICIAL INTELLIGENCE; CELLS; FLIGHT SIMULATORS; IMMUNE SYSTEM; SUPERSONIC AIRCRAFT;

AIRCRAFT SUBSYSTEMS; ARTIFICIAL IMMUNE SYSTEM; COMPUTATIONAL UNITS; DETECTION AND IDENTIFICATIONS; FAILURE DETECTION; FAULT IDENTIFICATIONS; IMPLEMENTATION ALGORITHMS; MATHEMATICAL FORMULATION;

FIGHTER AIRCRAFT;

EID: 84962294149     PISSN: 09521976     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.engappai.2016.02.017     Document Type: Article

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