CAJ | 학술논문

为实时、准确、简易地诊断出风力机齿轮箱故障类型，提高风力机的稳定性，提出一种面向多故障的基于多尺度小波分析和希尔伯特变换的实时齿轮箱故障诊断方法。利用故障发生前期微弱的故障征兆，首先用小波降噪技术滤除齿轮箱振动信号中的噪声，然后对信号进行多尺度小波分解，通过分析高频重构信号，来判断是否将要产生故障；如果确定故障将要发生，再对高频重构信号进行希尔伯特变换，通过分析能量包络谱相应的波形参数值来判定预测故障的类型。利用试验数据对该方法进行分析验证，证明了该算法的简单和有效性。
위실시、준학、간역지진단출풍력궤치륜상고장류형，제고풍력궤적은정성，제출일충면향다고장적기우다척도소파분석화희이백특변환적실시치륜상고장진단방법。이용고장발생전기미약적고장정조，수선용소파강조기술려제치륜상진동신호중적조성，연후대신호진행다척도소파분해，통과분석고빈중구신호，래판단시부장요산생고장；여과학정고장장요발생，재대고빈중구신호진행희이백특변환，통과분석능량포락보상응적파형삼수치래판정예측고장적류형。이용시험수거대해방법진행분석험증，증명료해산법적간단화유효성。
A fault diagnosis method of gearbox based on multi-scale wavelet analysis and Hilbert transform,which can diagnose many kinds of fault immediately, was proposed in order to diagnose the wind turbine gearbox fault type easily, improve the stability of the wind turbine. Firstly, the wavelet denoise method was used to remove the noise of gearbox vibration signals, then the vibration signals of gearbox were decomposed by the multi-scale wavelet decomposition method. Through the analysis of high frequency reconstruction signal, whether the fault will occur can be predicted. If the fault is going to happen, Hilbert transform method is used to the high-frequency reconstruction signals. The predict fault type can be determined by the analysis of certain parameter values of energy envelope spectrum. The new experimental data was employed to show that the algorithm is simple and effective.