基于能量谱特征的变速风机振动调制信号的检测方法
发布时间：2018-10-17 12:58
【摘要】：风机运行状态评估是提高风机稳定性并降低运行成本的有效手段。为消除风机状态监测中时变风速对风机机械振动的时频特性的影响,引入无量纲希尔伯特-黄变换方法绘制信号的幅值及能量谱特性。为了保证振动信号调制特征提取精度的同时降低计算量,提出了一种根据希尔伯特-黄谱的振动调制信号周期特征的提取方法,以风机齿轮箱振动信号为对象进行了调制特征提取实验,并将提取结果与目前风机运行状态评估常用的傅里叶方法的结果进行了对比。
[Abstract]:Fan operation state evaluation is an effective means to improve fan stability and reduce operating cost. In order to eliminate the influence of time-varying wind speed on the time-frequency characteristics of mechanical vibration in fan condition monitoring, the dimensionless Hilbert-Huang transform method was introduced to plot the amplitude and energy spectrum characteristics of the signal. In order to ensure the accuracy of vibration signal modulation feature extraction and reduce the computational complexity, a vibration modulation signal periodic feature extraction method based on Hilbert-Huang spectrum is proposed. Based on the vibration signal of fan gearbox, the modulation feature extraction experiment is carried out, and the results are compared with the results of Fourier method which is commonly used in the evaluation of fan running status.
【作者单位】： 国电联合动力风电设备及控制国家重点实验室;国电新能源技术研究院;
【基金】：国家重点基础研究发展计划项目(973计划)(2012CB215205)~~
【分类号】：TM315
[Abstract]:Fan operation state evaluation is an effective means to improve fan stability and reduce operating cost. In order to eliminate the influence of time-varying wind speed on the time-frequency characteristics of mechanical vibration in fan condition monitoring, the dimensionless Hilbert-Huang transform method was introduced to plot the amplitude and energy spectrum characteristics of the signal. In order to ensure the accuracy of vibration signal modulation feature extraction and reduce the computational complexity, a vibration modulation signal periodic feature extraction method based on Hilbert-Huang spectrum is proposed. Based on the vibration signal of fan gearbox, the modulation feature extraction experiment is carried out, and the results are compared with the results of Fourier method which is commonly used in the evaluation of fan running status.
【作者单位】： 国电联合动力风电设备及控制国家重点实验室;国电新能源技术研究院;
【基金】：国家重点基础研究发展计划项目(973计划)(2012CB215205)~~
【分类号】：TM315
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1 聂鹏;徐洪W，
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