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A Bayesian machine learning approach for online detection of railway wheel defects using track-side monitoring
Structural Health Monitoring ( IF 6.6 ) Pub Date : 2020-06-10 , DOI: 10.1177/1475921720921772
Yi-Qing Ni 1 , Qiu-Hu Zhang 1
Affiliation  

Wheel condition assessment is of great significance to ensure the operation safety of trains and metro systems. This study is intended to develop a Bayesian probabilistic method for online and quan...

中文翻译:

一种利用轨道侧监测在线检测铁路车轮缺陷的贝叶斯机器学习方法

车轮状态评估对于保障列车和地铁系统的运行安全具有重要意义。本研究旨在开发一种用于在线和量化的贝叶斯概率方法。
更新日期:2020-06-10
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