文献[3-5]等应用连续小波计算OLTC振动信号的时域特征，根据振动信

Literature [3-5] applied continuous wavelet to calculate the time domain characteristics of the OLTC vibration signal, established the OLTC working state criterion based on the "ridge distribution map" of the vibration signal, and analyzed the characteristics of the "ridge distribution map" when the OLTC was typical failure An OLTC mechanical fault diagnosis method based on Kohonen's self-organizing mapping network is proposed. [7] Based on OLTC at different stages of the action switching process, Seo et al. Proposed to use wavelet analysis to take the time and amplitude information of the OLTC vibration signal pulses as characteristic parameters, and to associate abnormal pulses with action timing for abnormal states. The specific parts are analyzed [7].

文献[3-5]等应用连续小波计算OLTC振动信号的时域特征，根据振动信号的“垄脊分布图”建立OLTC的工作状态准则，分析OLTC典型故障时的“垄脊分布图”特征，提出基于Kohonen’s自组织映射网络的OLTC机械故障诊断方法。文献[7] Seo等人基于OLTC在动作切换过程的不同阶段，提出利用小波分析将OLTC振动信号脉冲的时间和幅值信息作为特征参量，将异变的脉冲和动作时序相关联对存在异常状态的具体零部件进行分析[7]。

In reference [3-5], the time-domain characteristics of OLTC vibration signal are calculated by continuous wavelet, the working state criterion of OLTC is established according to the "ridge distribution diagram" of vibration signal, the characteristics of "ridge distribution diagram" of OLTC typical fault are analyzed, and the mechanical fault diagnosis method of OLTC based on Kohonen's self-organizing mapping network is proposed. Based on the different stages of OLTC's action switching process, SEO et al. Proposed using wavelet analysis to take the time and amplitude information of OLTC vibration signal pulse as the characteristic parameter, and associated the abnormal pulse and action time sequence to analyze the specific parts with abnormal state [7].<br>