The hybrid multivariate analysis method for damage detection
发布时间：2025-04-30
点击次数：
- 发布时间：
- 2025-04-30
- 论文名称：
- The hybrid multivariate analysis method for damage detection
- 发表刊物：
- Structural Control and Health Monitoring
- 摘要：
- As the defects and superiorities of indices are mutualisms frequently, such as noise immunity and damage sensitivity, damage identification based on single damage index may hardly present the effective result all the time, so multiple indices fusion method is introduced in this paper to achieve some complementary improvements. In this paper, two kinds of no-baseline mode shape-based damage indices, namely, the generalized local entropy and the curvature waveform capacity fractural, are utilized to construct the basic index set for combination, and the fuzzy clustermethod is introduced in order to establish fusion process. These two parts generate the hybrid multivariate analysis method finally. The multivariate analysis’ superiority mainly displays on two aspects: (1) the use of no-baseline mode shape-based method ensures the damage detection efficiency with the absence of healthy mode shape serving as baseline and (2) the fusion conducted by cluster method provides the mutual support and complementation among indices, which can enhance the robustness of algorithm. The performances of the present method are verified via sufficient numerical examples, and then experiments are demonstrated on three typical engineering structures, namely, cantilever beam, blower wheel, and rotor, for further validations.
- 合写作者：
- Zhi-Bo Yang, Xue-Feng Chen, Yong Xie and Xing-Wu Zhang
- 卷号：
- 23(1)
- 页面范围：
- 123-143
- 是否译文：
- 否
- 发表时间：
- 2015-12-07