Thermal image based fault diagnosis for rotating machinery

Infrared Physics and Technology

Volumn 73, Issue , 2015, Pages 78-87

  Janssens, Olivier ^a   Schulz, Raiko ^a   Slavkovikj, Viktor ^a   Stockman, Kurt ^a   Loccufier, Mia ^a   Van De Walle, Rik ^a   Van Hoecke, Sofie ^a  

^a GHENT UNIVERSITY   (Belgium)

Author keywords

Condition monitoring; Fault diagnosis; Image processing; Infrared imaging; Machine learning; Rotating machinery

Indexed keywords

ARTIFICIAL INTELLIGENCE; CONDITION MONITORING; FAILURE ANALYSIS; IMAGE PROCESSING; INFRARED IMAGING; LEARNING SYSTEMS; MACHINERY; PIPELINE PROCESSING SYSTEMS; PIPELINES; ROTATING MACHINERY; THERMOGRAPHY (IMAGING);

AUTOMATIC FAULT DETECTION; CONSECUTIVE IMAGES; DIAGNOSIS FOR ROTATING MACHINERY; FAULT DETECTION SYSTEMS; GINI COEFFICIENTS; IMAGE PROCESSING PIPELINE; STANDARD DEVIATION; STATE-OF-THE-ART TECHNIQUES;

FAULT DETECTION;

EID: 84942456323     PISSN: 13504495     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.infrared.2015.09.004     Document Type: Article

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