This study investigates the quality control and detection techniques of welding processes in hydropower turbine manufacturing within modern manufacturing industries.Traditional welding processes exhibit numerous defects and unstable quality.By optimizing welding parameters and applying advanced welding process control technologies,combined with sensor fusion and deep learning methods,we developed an intelligent welding quality detection system.Experimental results show that the optimized welding process significantly improves the consistency of welding quality,and the intelligent detection system greatly enhances defect recognition rates and detection efficiency.Ultimately,this intelligent welding detection system demonstrates significant advantages in improving welding quality and production efficiency.
关键词
焊接质量控制/焊接检测/传感器融合/智能焊接系统
Key words
welding quality control/welding detection/sensor fusion/intelligent welding system
维普
万方数据