CAJ | 학술논문

发生早期故障的轴承，由于故障特征频率处的能量比较微弱，易于被噪声淹没。通过对滚动轴承故障原理的研究，讨论了利用共振频率解调故障特征频率对于噪声的抑制能力。为了寻找轴承的共振频率，结合时频分析和信息熵的特点，提出了一种新的频带熵方法。首先利用短时傅里叶变换得到信号的时频分布，再沿时间轴计算各个频率的幅值谱熵，从而得到各个频率成分随时间变化的复杂度指标。利用频带熵对轴承共振频率的检测能力，揭示了频带熵与自适应滤波器参数的关系。与原始包络相比，滤波后的包络信号能有效的从噪声中提取出轴承故障特征频率。最后通过仿真和实验验证了该方法的有效性。
발생조기고장적축승，유우고장특정빈솔처적능량비교미약，역우피조성엄몰。통과대곤동축승고장원리적연구，토론료이용공진빈솔해조고장특정빈솔대우조성적억제능력。위료심조축승적공진빈솔，결합시빈분석화신식적적특점，제출료일충신적빈대적방법。수선이용단시부리협변환득도신호적시빈분포，재연시간축계산각개빈솔적폭치보적，종이득도각개빈솔성분수시간변화적복잡도지표。이용빈대적대축승공진빈솔적검측능력，게시료빈대적여자괄응려파기삼수적관계。여원시포락상비，려파후적포락신호능유효적종조성중제취출축승고장특정빈솔。최후통과방진화실험험증료해방법적유효성。
Bearing fault characteristic frequencies contain rather weak energy when the early fault occurs,and they are often overwhelmed in noise.According to the research results on the fault mechanism of rolling bearings,the demodulation of bearing resonance frequency is helpful in improving SNR and extracting the characteristic frequencies. Based on time-frequency analysis and information entropy,frequency band entropy (FBE )was introduced to find the bearing resonance frequency.Short time fourier transform (STFT)was utilized to calculate the time-frequency distribution of signal.Then the amplitude spectrum entropy of each frequency was estimated to discover the complexity of each frequency changing with time.This property provides a way of blindly designing of optimal filter parameters.The bearing characteristic frequencies can be extracted effectively from the signal after filtering.The simulation and experiment verify the validity of the proposed method.