Novel classifier fusion approahces for fault diagnosis in automotive systems

AUTOTESTCON (Proceedings)

Volumn , Issue , 2007, Pages 260-269

  Choi, Kihoon ^a   Singh, Satnam ^a   Kodali, Anuradha ^a   Pattipati, Krishna R ^a   Sheppard, John W ^b   Namburu, Setu Madhavi ^c   Chigusa, Shunsuke ^c   Prokhorov, Danil V ^c   Qiao, Liu ^c  

^a University of Connecticut   (United States)

^b JOHNS HOPKINS UNIVERSITY   (United States)

^c TOYOTA TECHNICAL CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMOBILE ENGINES; BAYESIAN NETWORKS; CLASSIFICATION (OF INFORMATION); CLASSIFIERS; DIAGNOSIS; ELECTRIC FAULT CURRENTS; FACE RECOGNITION; FUSION REACTIONS; HEALTH; INTELLIGENT SYSTEMS; INTELLIGENT VEHICLE HIGHWAY SYSTEMS; LEARNING SYSTEMS; MAINTAINABILITY; MAINTENANCE; NUCLEAR PHYSICS; OPTIMIZATION; REPAIR; VEHICLES;

AUTOMOTIVE ENGINES; AUTOMOTIVE SYSTEMS; BAYESIAN FUSION; CLASSIFICATION PERFORMANCE; CLASSIFIER DECISIONS; CLASSIFIER FUSIONS; DATA-DRIVEN APPROACHES; DIAGNOSTIC ERRORS; DYNAMIC FUSION; FAULT DIAGNOSIS; FUSION CENTER; INDIVIDUAL CLASSIFIERS; INTEGRATED DIAGNOSTICS; INTELLIGENT VEHICLE; JOINT OPTIMIZATION; REDUCTION TECHNIQUES; REPAIR AND MAINTENANCE;

DATA REDUCTION;

EID: 48049110438     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/AUTEST.2007.4374227     Document Type: Conference Paper

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