基于证据堆叠的高速列车典型工况识别
摘要
为识别高速列车运行典型工况,使用不同数量的特征参数构建特征框架。结果表明,随着特征参数数量的增加,识别率提高,当识别率提高到一定程度后,继续增加特征数量对识别率的提高影响力变小。因此,在实际动车组工况识别时,无需使用大量特征,可节省特征提取工作量。使用频带比单一频率更能准确反映动车组振动监测信号的振动特性。
引文
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[3]丁夏完,刘葆,刘金朝,等.基于自适应STFT的货车滚动轴承故障诊断[J].中国铁道科学,2005,25(6):24-27.
[4]朱建渠,金炜东,朱斌,等.基于谐波小波包变换的高速列车走行部故障特征提取与识别[J].合肥工业大学学报(自然科学版),2013,36(6):650-654.
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