改进的Seam Carving瞬时频率估计算法研究
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国家自然科学基金(51505234)


Instantaneous frequency estimation based on improved Seam Carving algorithm
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    摘要:

    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 Transformation,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.

    Abstract:

    Feature extraction of instantaneous frequency is the key for fault diagnosis of rotating machines,considering that the vibration signals of bearing are usually potential and very weak for dynamic response.A new STFT-SC (Short Time Fourier Transform and Seam Carving) feature extraction method is thus proposed which can estimate instantaneous frequency of vibration signal of rolling bearings.Seam Carving method,usually applied in the field of image processing,is revised according to the characteristics of the rolling bearing.Instantaneous frequency of the vibration signal is estimated using the STFT,then the first order Seam route is solved using the energy gradients of Seam Carving and dynamic planning method;finally,the first order signal is reconstructed and compared with the simulated signal.Results show that the proposed STFT-SC method is effective and quick for estimation of vibration signal even under interference of strong noise and adjacent order components of signal.

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赵晓平,吴家新,周子贤.改进的Seam Carving瞬时频率估计算法研究[J].南京信息工程大学学报(自然科学版),2017,9(2):214-219
ZHAO Xiaopin, WU Jiaxin, ZHOU Zixian. Instantaneous frequency estimation based on improved Seam Carving algorithm[J]. Journal of Nanjing University of Information Science & Technology, 2017,9(2):214-219

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  • 收稿日期:2016-03-18
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  • 在线发布日期: 2017-03-14
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