机车车轮参数远程测量数据的自动化处理

<jats:p>Monitoring locomotive wheel profiles is crucial for traffic safety and condition-based maintenance; however, high-frequency contactless measurements often contain gaps and outliers. An automated processing system is proposed that performs range control, outlier detection, and completeness verification, generating a validated report in 1.2-2.5 s for a consist of up to three locomotives</jats:p> <jats:p>机车车轮轮廓监测对行车安全和按实际状态维修至关重要。然而 高频非接触式测量往往存在数据缺失和异常值问题。本文提出了一种自动化处理系统 该系统可执行范围监控、异常值识别及完整性检查 并能在 1.2-2.5 内为最多三台机车组成的机车组生成经验证的报告</jats:p>