中国空间科学技术（中英文）2025，Vol.45Issue(6)：111-120,10.DOI:10.16708/j.cnki.1000-758X.2025.0093
基于光纤光栅与超声导波的航天器结构疲劳裂纹智能识别
Intelligent identification of fatigue cracks in spacecraft structures based on fiber Bragg gratings and ultrasonic guided waves
摘要
Abstract
Aiming at the challenge of monitoring fatigue cracks in spacecraft structures during service,an intelligent identification method for fatigue cracks based on fiber Bragg gratings and ultrasonic guided waves was proposed in this paper.Firstly,a hybrid approach combining passive monitoring using fiber sensing with active detection via ultrasonic guided waves was employed to comprehensively acquire the state data of spacecraft structures.Then,a deep learning network of stacked denoising autoencoders was adopted to construct a fatigue crack identification model for structures,which could adaptively extract crack damage features directly from the structural state data and represent the complex mapping relationship between the structural states and fatigue cracks with a deep model,achieving precise identification of crack locations and lengths.Experimental results show that the identification accuracy of fatigue cracks in the proposed method is more than 90%,which can meet the application requirement of autonomous identification of fatigue cracks in on-orbit spacecraft structures.关键词
结构健康监测/疲劳裂纹/智能识别/光纤传感/超声导波Key words
structural health monitoring/fatigue crack/intelligent identification/optical fiber sensing/ultrasonic guided wave分类
计算机与自动化引用本文复制引用
杨宁,李伟,朱慎博,张建德,张法业..基于光纤光栅与超声导波的航天器结构疲劳裂纹智能识别[J].中国空间科学技术（中英文）,2025,45(6):111-120,10.基金项目
国家自然科学基金(62073193,62373219) （62073193,62373219）
