Degradation trend prediction of rail stripping for heavy haul railway based on multi-strategy hybrid improved pelican algorithm
Changfan Zhang,
Chang Jiang,
Jianhua Liu
et al.
Abstract:As a key component of the heavy-haul railway system, the rail is prone to damages caused by harsh operating conditions. To secure a safe operation, it is of great essence to detect the damage status of the rail. However, current damage detection methods are mainly manual, so problems such as strong subjectivity, lag in providing results, and difficulty in quantifying the degree of damage are easily generated. Therefore, a new prediction method based on the improved pelican algorithm and channel attention mecha… Show more
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