4.7 Article

A PZT Based On-Line Updated Guided Wave-Gaussian Process Method for Crack Evaluation

期刊

IEEE SENSORS JOURNAL
卷 20, 期 15, 页码 8204-8212

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JSEN.2019.2960408

关键词

Monitoring; Sensors; Fatigue; Indexes; Hidden Markov models; Load modeling; Gaussian processes; Fatigue crack evaluation; Gaussian process; on-line update; PZT sensors; structural health monitoring

资金

  1. Key Program of National Natural Science Foundation of China [51635008]
  2. Jiangsu Provincial Key Research and Development Program of China [BE2018123]
  3. National Natural Resources Innovation Research Group Project [51921003]
  4. Research Fund of State Key Laboratory of Mechanics and Control of Mechanical Structures (Nanjing University of Aeronautics and astronautics) [MCMS-0517K01]

向作者/读者索取更多资源

An essential procedure for fatigue crack evaluation based on structural health monitoring is to establish the mapping relationship between structural health monitoring signal features and the crack length. However, crack evolution in aerospace structure is a complicated process affected by many condition factors, such as the temperature, mission load, structural boundary condition and material characteristic. These factors are coupled with each other and cause serious uncertainties to the crack evolution in the structure. Ordinary methods by mapping or calibration using a set of same structural specimens or simulation to achieve an average mapping result cannot provide accurate results to a specific structure monitored, since this structure inevitably has deviations from the average result. Aiming at solving this problem, an on-line updated guided wave Gaussian Process based evaluation method is proposed in this paper, which differs from the current Gaussian Process research in the way of model dynamic updating. The proposed method is verified on attachment lug structures, which is a kind of important connection part commonly used in aircrafts. The effectiveness of the proposed method is well demonstrated.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据