机器学习方法在桥梁健康监测中的应用

2017 Second International Conference on Reliability Systems Engineering (ICRSE) Pub Date : 2017-07-01 DOI:10.1109/ICRSE.2017.8030793

Jiafan Peng, Shunong Zhang, Dongmu Peng, Kan Liang

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引用次数: 10

摘要

近几十年来，机器学习算法一直是一种典型的高效数据处理方法，而数据驱动的方法对于桥梁健康监测特别有用，因为有大量的传感器数据可用。本文综述了机器学习方法在桥梁健康监测领域的应用，阐述了机器学习方法在桥梁健康监测领域的应用和局限性。

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Application of machine learning method in bridge health monitoring

Machine learning algorithms have been a typical type of highly efficient method for data processing in these recent decades, and data-driven approaches for bridge health monitoring is particularly useful since a large quantity of sensor data are available. In this paper, a review of most popular applications of machine learning method are presented in order to illustrate their utilities and limitations in the field of bridge health monitoring.

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来源期刊

2017 Second International Conference on Reliability Systems Engineering (ICRSE)

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