Abstract
Welding oil pipeline is one of the most difficult process with high quality requirements. Normally, a high skilled welder with long time experience is needed. Presently, robotic technology is sophisticated and advanced in several engineering applications. This paper proposes a robotic application for oil pipeline using fuzzy logic-based modelling to predict a depth penetration. All parameters are defined in fuzzy input and output. Fuzzy rules are created for inference reasoning. Fuzzy output carries out solutions for effective decision making to select optimization parameters as well as directly linked to a welding robot. The most critical aspect for an oil pipe welding is to get a proper penetration which is can not visually see but can infer from the actual operating process and predict by fuzzy.
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