...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Mechanical systems and signal processing >Automated structural health monitoring based on adaptive kernel spectral clustering
【24h】

Automated structural health monitoring based on adaptive kernel spectral clustering

机译：基于自适应核谱聚类的结构健康自动监测

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Structural health monitoring refers to the process of measuring damage-sensitive variables to assess the functionality of a structure. In principle, vibration data can capture the dynamics of the structure and reveal possible failures, but environmental and operational variability can mask this information. Thus, an effective outlier detection algorithm can be applied only after having performed data normalization (i.e. filtering) to eliminate external influences. Instead, in this article we propose a technique which unifies the data normalization and damage detection steps. The proposed algorithm, called adaptive kernel spectral clustering (AKSC), is initialized and calibrated in a phase when the structure is undamaged. The calibration process is crucial to ensure detection of early damage and minimize the number of false alarms. After the calibration, the method can automatically identify new regimes which may be associated with possible faults. These regimes are discovered by means of two complementary damage (i.e. outlier) indicators. The proposed strategy is validated with a simulated example and with real-life natural frequency data from the Z24 pre-stressed concrete bridge, which was progressively damaged at the end of a one-year monitoring period.
机译：结构健康监测是指测量对损伤敏感的变量以评估结构功能的过程。原则上，振动数据可以捕获结构的动力学并揭示可能的故障，但是环境和操作的可变性可以掩盖此信息。因此，只有在执行了数据归一化（即过滤）以消除外部影响之后，才能应用有效的离群值检测算法。相反，在本文中，我们提出了一种将数据规范化和损坏检测步骤统一起来的技术。所提出的算法，称为自适应核谱聚类（AKSC），在结构完好无损的阶段被初始化和校准。校准过程对于确保及早发现损坏并最大程度地减少错误警报至关重要。校准之后，该方法可以自动识别可能与可能的故障相关的新状态。这些机制是通过两个互补的损坏（即异常值）指标发现的。通过模拟示例和来自Z24预应力混凝土桥梁的实际自然频率数据对所提出的策略进行了验证，该数据在一年的监测期末逐渐遭到破坏。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号