唐宇翔,陶建峰,刘成良

• 1:上海交通大学机械与动力工程学院
• 2:上海交通大学机械系统与振动国家重点实验室

摘要(Abstract)：

针对盾构机刀盘主驱动电机存在因高频振动和电流信号获取不易和长时间工作导致的电机异常检测准确率低和性能评估困难的问题，通过分析主驱动电机的群体特征与个体特征的相似程度，提出了一种基于多尺度循环自编码器的盾构主驱动电机异常检测和性能评估的方法。首先将正常运行时的主驱动电机原始电流数据进行异常值清洗、筛选工作阶段、归一化等预处理工作；再根据预处理后的电流信号进行时间切片和特征提取编码，构建描述电机之间性能差距的差异性矩阵作为训练集；然后将数据集输入多尺度循环自编码器中提取正常运行电机电流信号特征，从而实现准确地进行电机的异常检测并给出性能评估的健康指标。基于印度孟买D215工程的实际数据，对所提方法进行了验证和测试，结果表明：该方法在仅能获取到PLC数据的情况下，完成盾构主驱动电机的异常检测，准确率维持在90%以上，并能够给出一种反映主驱动电机组性能退化的健康指标。

关键词(KeyWords)： 盾构机;主驱动电机;异常检测;自动编码器;性能评估;可视化监控

Abstract:

Keywords:

基金项目(Foundation): 国家重点研发计划资助项目（2020YFB2007202）

作者(Author): 唐宇翔,陶建峰,刘成良

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