计算机科学 ›› 2014, Vol. 41 ›› Issue (1): 91-94.
赵晶晶,杨燕,李天瑞,曾京,魏来
ZHAO Jing-jing,YANG Yan,LI Tian-rui,ZENG Jing and WEI Lai
摘要： 抗蛇行减振器故障、横向减振器故障、空气弹簧故障是高铁的3种典型故障。针对高铁的3种常见故障的非线性、非平稳特性,本次研究中将近似熵和经验模态分解应用到高铁故障诊断中进行故障特征提取,并使用BP神经网络作为高铁故障诊断模型进行高铁的故障诊断。实验证明,该方法能够准确有效地进行高铁故障诊断。此外,通过对比实验表明,融合近似熵特征和EMD分解后的第一个模态分量的能量特征比单个特征更有利于高铁故障诊断。
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