【摘要】 采用具有线性相位的B样条小波,应用图形显示算法并结合小波变换快速算法将信号分解到不同的频带上,且分解结果和原信号长度保持一致,可对信号进行深层次的处理,克服了传统的信号处理方法不易提取微弱信息的不足通过对矿用斜轴式柱塞泵振动信号的分析,分离出了配流副磨损、球铰松动、缸体及泵轴支撑轴承的故障特征,为液压泵的故障诊断提供了依据,并为信噪分离、微弱信号提取及设备的早期故障诊断提供了一条有效途径更多还原

【Abstract】 In order to process signal in depth and to extract the fault feature from original signal in machinery diagnosis,the graphical display algorithm that can keep the data length of wavelet transform results the same as that of original signal is used.The fault diagnosis of a bend axial piston pump via B spline wavelet that has linear phase is provided.The results of study demonstrate that the new method has excellent feature and the weak fault signal can be extracted from the strong vibration background of the pump.更多还原