针对遥测振动信号频域成分复杂、非平稳非线性和强噪声特性,提出一种基于多尺度谱峭度图的遥测振动信号异常检测方法。首先对采集到的信号进行零漂修正和趋势项消除,然后利用自适应分解方法对信号进行自适应多尺度分解,依据谱峭度筛选出异常频率所在频带的分量;接下来利用筛选出的分量做时频分布,对时频分布进行多尺度划分,计算相应尺度频段内的谱峭度值并画出谱峭度图,依据峭度最大原则选取滤波频段;最后利用CZT变换对滤波后的信号进行频谱细化,进而获得振动信号的异常频率。仿真和实测数据验证了该方法的有效性。

Since telemetry vibration signal in frequency domain has characteristics of complex composition, nonlinear and non-stationary, as well as strong noise, a telemetry vibration signal detection method based on multi-scale spectral kurtosis map was proposed. Firstly, the collected telemetry vibration signal was zero drift amended and eliminated the trend term. Secondly, adaptive decomposition method was used to multi-scale decompose the signal, and the spectral kurtosis was used to remove false component: Thirdly, the time-frequency distribution was calculated by screening component, and divided multi-layer and multi-scale, then the spectral kurtosis of the corresponding scale band signal was calculated to draw spectral kurtosis map, and the filter band was selected based on the principle of maximum kurtosis; Finally, CZT transform was used to refine the filtered signal spectrum for abnormal frequency vibration signal. The results of simulation and practical application demonstrate effectiveness of this method.