In critical industrial components, defect diagnosis systems face three fundamental challenges across 15-30 year lifecycles: extreme data scarcity at cold-start, continuous defect evolution requiring lifelong adaptation, and physical-world robustness against environmental interference. Our continual self-evolving system addresses these through integrated AI technologies that enable rapid deployment with minimal samples, maintain knowledge accumulation without forgetting, and ensure reliable perfo