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Online Vibration-Based Crack Detection during Fatigue Testing

机译：疲劳测试过程中基于在线振动的裂纹检测

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摘要

When performing fatigue tests, it is essential to monitor the degradation of the structure with an increasing number of fatigue cycles. In this article, a vibration-based damage detection method will be proposed. Such a method has the davantage that it operates online with the fatigue test. Especially for structures with very high fatigue strength, it is important that the test does not have to be interrupted. The damage detection method that will be used is based on a residual generated from a stochastic subspace identification method. The basic idea is that a model for the undamaged structure is identified and that, afterwards, vibration measurements from a possibly damaged structure are confronted with this model. A statistical local approach hypothesis testing is used to assess the deviation of the new data from the nominal model. After introducing the damage detection method, its performance will be illustrated on data from a fatigue experiment. The method will be compared to other linear and non-linear vibration-based damage detection methods.
机译：在进行疲劳测试时，必须随着疲劳循环次数的增加来监视结构的退化。在本文中，将提出一种基于振动的损伤检测方法。这种方法的优点是它可以与疲劳测试一起在线运行。尤其对于疲劳强度非常高的结构，重要的是不必中断测试。将使用的损坏检测方法基于从随机子空间识别方法生成的残差。基本思想是，确定一个未损坏结构的模型，然后再对该模型进行可能损坏的结构的振动测量。统计局部方法假设检验用于评估新数据与名义模型的偏差。引入损伤检测方法后，将在疲劳实验的数据中说明其性能。该方法将与其他基于线性和非线性振动的损伤检测方法进行比较。

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