Data-driven intelligent detection model of railway vehicle wheels flat
Xiang Su,
Guangwei Zhao,
Yuxin Sun
et al.
Abstract:For solving a large amount of data processing and reducing the cost to improve detection accuracy, this paper proposes an intelligent detection model for railway vehicle wheels flat. We propose an automatic data processing algorithm for labeling large-scale data to maximize the benefits of each experiment data. To improve the generalization of the detection model to improve the accuracy, we combine the vehicle dynamics simulation data and the simulation experiment data based on the single wheel rolling test be… Show more
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