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改进的Seam Carving瞬时频率估计算法研究
引用本文: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].南京气象学院学报,2017,9(2):214-219.
作者姓名:赵晓平  吴家新  周子贤
作者单位: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;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;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
基金项目:国家自然科学基金(51505234)
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.

关 键 词:旋转机械  Seam  Carving算法  瞬时频率估计  能量梯度
收稿时间:2016/3/18 0:00:00

Instantaneous frequency estimation based on improved Seam Carving algorithm
ZHAO Xiaopin,WU Jiaxin and ZHOU Zixian.Instantaneous frequency estimation based on improved Seam Carving algorithm[J].Journal of Nanjing Institute of Meteorology,2017,9(2):214-219.
Authors:ZHAO Xiaopin  WU Jiaxin and ZHOU Zixian
Institution:School of Computer & Software, Nanjing University of Information Science & Technology, Nanjing 210044;Jiangsu Engineering Center of Network Monitoring, Nanjing University of Information Science & Technology, Nanjing 210044;School of Computer & Software, Nanjing University of Information Science & Technology, Nanjing 210044;Jiangsu Engineering Center of Network Monitoring, Nanjing University of Information Science & Technology, Nanjing 210044;School of Computer & Software, Nanjing University of Information Science & Technology, Nanjing 210044;Jiangsu Engineering Center of Network Monitoring, Nanjing University of Information Science & Technology, Nanjing 210044
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.
Keywords:rotating machine  Seam Carving  instantaneous frequency estimation  energy gradient
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