Intelligent modeling for estimating weld bead width and depth of penetration from infra-red thermal images of the weld pool

Predicting the depth of penetration and weld bead width from the infra red thermal image of the weld pool using artificial neural network modeling

(2011) S. Chokkalingham et al.   JOURNAL OF INTELLIGENT MANUFACTURING

Adaptive Neuro-Fuzzy Inference System (ANFIS)-Based Models for Predicting the Weld Bead Width and Depth of Penetration from the Infrared Thermal Image of the Weld Pool

(2011) L. Subashini et al.   METALLURGICAL AND MATERIALS TRANSACTIONS B-PROCESS METALLURGY AND MATERIALS PROCESSING SCIENCE

Intelligent Modeling Combining Adaptive Neuro Fuzzy Inference System and Genetic Algorithm for Optimizing Welding Process Parameters

(2011) K. N. Gowtham et al.   METALLURGICAL AND MATERIALS TRANSACTIONS B-PROCESS METALLURGY AND MATERIALS PROCESSING SCIENCE

A Laser-Based Vision System for Weld Quality Inspection

(2011) Wei Huang et al.   SENSORS

Adaptive fuzzy moving K-means clustering algorithm for image segmentation

(2010) Nor Mat Isa et al.   IEEE TRANSACTIONS ON CONSUMER ELECTRONICS

Genetic algorithm for optimization of welding variables for height to width ratio and application of ANN for prediction of bead geometry for TIG welding process

(2009) D.S. Nagesh et al.   APPLIED SOFT COMPUTING

Artificial neural network approach for estimating weld bead width and depth of penetration from infrared thermal image of weld pool

(2008) P. Ghanty et al.   SCIENCE AND TECHNOLOGY OF WELDING AND JOINING