Signal processing and health assessment techniques in structural health monitoring

摘要：

　　Considering the practical necessity of realizing the aircraft structure health monitoring(SHM), not only some advanced sensors must be adopted, an appropriate signal processing method is also necessary, in order to achieve the goals of signal characteristic extraction and health assessment.Based on the fact that piezoelectric (PZT) sensor signals extracted from the monitored structure carry a lot of useful health related information, this paper proposes to utilize the power characteristics of PZT signals for health assessment of the aircraft structure.The Hilbert-Huang Transform (HHT) algorithm is employed to calculate the power characteristic vector, after that,the self-organizing map (SOM) is used to map the corresponding characteristics into a confidence value (CV) which represents the health state of the monitored structure.The experimental results demonstrate that the proposed method is reliable.

关键词： structural health monitoring (SHM) signal processing health assessment Hilbert-Huang transform self-organizing map

作者: Youning Tang Qian Sun Zhenbang Lv Jinhao Qiu

作者单位: Aeronautic Computing Technique Research Institute, Aviation Industry Corporation of China,Xian, Chi College of Aerospace Engineering, Nanjing University of Aeronautics and Astronautics, Jiangsu, China

会议类型: 国际会议

会议名称: the International Conference Vibroengineering-2014

会议地点: 贵阳

会议语种:英文

页码: 11-16

在线出版日期: 2014-11-07（万方平台首次上网日期，不代表论文的发表时间）