Diana Wegner

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About

Diana Wegner is a leading researcher in advanced manufacturing and welding process monitoring, with a focus on improving the quality and reliability of robotic resistance spot welding. Her most-cited work, "Online measurement of weld penetration in robotic resistance spot welding using electrode displacement signals" (2020, 52 citations), introduces a novel, non-invasive method for real-time assessment of weld penetration depth. By analyzing electrode displacement signals, Wegner’s approach enables precise, in-process quality control without disrupting production—a critical advancement for industries like automotive and aerospace that rely on high-strength, defect-free joints. This contribution addresses a longstanding challenge in automated welding: ensuring consistent penetration while minimizing destructive testing. Her research bridges sensor technology, signal processing, and manufacturing engineering, offering practical solutions for smart factories. Wegner’s work is widely cited for its potential to reduce scrap, enhance safety, and lower costs in high-volume production. Beyond this flagship study, she continues to explore adaptive control systems and data-driven methods for welding optimization. For students and researchers in manufacturing, Wegner’s research exemplifies how real-time monitoring can transform traditional processes into intelligent, self-correcting systems.