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The article deals with the processing of fused infrared and vision images of a welding arc. The considered sequences of infrared and vision images were gathered during a series of laboratory experiments. Different welding instabilities were simulated during the experiments. The aim of the research was to diagnose the welding process based on the results of the processing of fused images. Three methods of analysis of fused images were considered in order to generate diagnostic signals. The first method deals with statistical estimation of pixel values of segmented welding arc area. In the second method topological parameters of the area of welding arc was estimated. The third method was based on the analysis of horizontal profile of welding arc area. In this case several geometrical features were proposed. Extracted features of fused image were estimated. It enabled to perform classification of welding state. Obtained results showed that proposed methods of analysis allowed generation of useful diagnostic signals which could be used for further fault detection and localization purposes.

The processing of fused infrared and vision images of a welding arc for fault detection