Fault diagnosis in railway track circuits using Dempster-Shafer classifier fusion

Engineering Applications of Artificial Intelligence

Volumn 23, Issue 1, 2010, Pages 117-128

  Oukhellou, Latifa ^a,b   Debiolles, Alexandra ^c   Denœux, Thierry ^d   Aknin, Patrice ^b  

^a UNIVERSITÉ PARIS EST CRÉTEIL   (France)

^b Lab des Technologies Nouvelles   (France)

^c SNCF   (France)

^d UNIVERSITÉ DE TECHNOLOGIE DE COMPIÈGNE   (France)

Author keywords

Belief functions; Classifier fusion; Evidence theory; Fault detection and isolation; Neural networks; Pattern recognition; Transferable belief model

Indexed keywords

DECISION THEORY; DECISION TREES; FORMAL LOGIC; LARGE SCALE SYSTEMS; NEURAL NETWORKS; PATTERN RECOGNITION; RAILROAD TRACKS; RAILROADS; TIMING CIRCUITS; UNCERTAINTY ANALYSIS;

BELIEF FUNCTION; CLASSIFIER FUSION; EVIDENCE THEORIES; FAULT DETECTION AND ISOLATION; TRANSFERABLE BELIEF MODEL;

FAULT DETECTION;

EID: 75049085356     PISSN: 09521976     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.engappai.2009.06.005     Document Type: Article

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