Automatic Decision Making in SHM Using Hidden Markov Models

Constanze Tschöpe, M. Wolff
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引用次数: 17

Abstract

Decision making and classification methods are very important in the field of structural health monitoring and life cycle prediction. We want to introduce an approach basing on sequence classifiers which can be used to several applications without any explicit knowledge of structures. To illustrate the concept we explain the method by means of a special example. So we can demonstrate our approach detailed, but although not too abstract.
基于隐马尔可夫模型的SHM自动决策
在结构健康监测和寿命周期预测中,决策和分类方法是非常重要的。我们想要介绍一种基于序列分类器的方法,这种方法可以在不需要任何显式结构知识的情况下用于多种应用。为了说明这个概念,我们通过一个特殊的例子来说明这个方法。因此,我们可以详细地演示我们的方法,尽管不是太抽象。
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