Prediction of pulsed GTAW penetration status based on BP neural network and D-S evidence theory information fusion

International Journal of Advanced Manufacturing Technology

Volumn 48, Issue 1-4, 2010, Pages 83-94

  Chen, Bo ^a   Wang, Jifeng ^a   Chen, Shanben ^a  

^a SHANGHAI JIAO TONG UNIVERSITY   (China)

Author keywords

Evidence theory; Information fusion; Multi sensor; Neural network; Welding

Indexed keywords

ARC SENSOR; BACK-PROPAGATION NEURAL NETWORKS; BASIC PROBABILITY ASSIGNMENT; BP NEURAL NETWORKS; COMPARISON RESULT; D S EVIDENCE THEORY; EVIDENCE THEORIES; MULTI SENSOR; MULTI-SENSOR INFORMATION FUSION; PULSED GAS TUNGSTEN ARC WELDING; PULSED GTAW; SIGNAL FEATURES; SINGLE SENSOR; SOUND SENSORS; SPECIAL ALGORITHMS; VISUAL SENSOR; WELD CURRENT; WELD POOL IMAGES; WELDING PROCESS;

BACKPROPAGATION; DATA FLOW ANALYSIS; ELECTRIC WELDING; FEATURE EXTRACTION; FORECASTING; GAS METAL ARC WELDING; IMAGE PROCESSING; INFORMATION FUSION; MEASUREMENT THEORY; RELIABILITY THEORY; SENSOR DATA FUSION; SENSORS; SIGNAL PROCESSING; TUNGSTEN; WELDS;

NEURAL NETWORKS;

EID: 77954213684     PISSN: 02683768     EISSN: 14333015     Source Type: Journal    
DOI: 10.1007/s00170-009-2258-6     Document Type: Article

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