Using artificial neural networks for real-time observation of the endurance state of a steel specimen under loading

Expert Systems with Applications

Volumn 36, Issue 4, 2009, Pages 7400-7408

  Selek, Murat ^a   Şahin, Ömer Sinan ^a   Kahramanli, Şirzat ^a  

^a SELCUK UNIVERSITY   (Turkey)

Author keywords

Artificial neural network; Image processing; Infrared thermography; Material fatigue; Thermal image

Indexed keywords

BACKPROPAGATION; DIGITAL IMAGE STORAGE; DURABILITY; FATIGUE OF MATERIALS; FATIGUE TESTING; IMAGE PROCESSING; IMAGING SYSTEMS; MATERIALS TESTING; REMOTE SENSING; STEEL; STEEL TESTING; THERMOGRAPHY (IMAGING); THERMOGRAPHY (TEMPERATURE MEASUREMENT);

ARTIFICIAL NEURAL NETWORK; BENDING FATIGUES; CONSTANT TEMPERATURES; HIGH TEMPERATURES; INFRARED THERMOGRAPHY; MATERIAL FATIGUE; PRE FATIGUES; PREVENTIVE MEASURES; REAL-TIME OBSERVATIONS; STEEL MATERIALS; STEEL SPECIMENS; SURFACE TEMPERATURES; TECHNICAL FEATURES; TEMPERATURE INCREASE; THERMAL IMAGE; THREE STAGES;

NEURAL NETWORKS;

EID: 60249095389     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2008.09.059     Document Type: Article

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