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改进的Seam Carving瞬时频率估计算法研究
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改进的Seam Carving瞬时频率估计算法研究
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Journal Article
改进的Seam Carving瞬时频率估计算法研究
2017
Overview
TP242; 旋转机械升降速阶段微弱振动信号具有潜在性和动态响应的微弱性等特点,因此瞬时频率是限制早期故障诊断发展的关键问题.针对这一问题,该文引入了图像处理领域的Seam Carving(SC)算法,并对SC算法进行改进,结合短时傅里叶变换(Short-Time Fourier Transfor-mation,STFT),提出了STFT-SC瞬时频率估计算法.STFT-SC算法采用STFT对振动信号进行时频分析,然后利用Seam Carving算法中的能量梯度,采用动态规划的思想寻求seam路径,实现了旋转机械振动信号的一阶瞬时频率提取,最后对一阶时频数据进行时域重构,将重构的时域信号和仿真信号进行相关性分析.结果表明,STFT-SC算法对于高噪声、邻近阶比等振动信号都具有非常好的效果.
Publisher
南京信息工程大学 计算机与软件学院,南京,210044,南京信息工程大学 江苏省网络监控工程中心,南京,210044
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