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中文摘要：
在转子故障信号的小波降噪研究中，降噪效果常常依赖小波分解层数、故障转子转速和信号的采样频率，难于自动完成．针对该问题，提出了一种转子故障信号的自适应小波降噪新方法，该方法先对原始数据进行重采样，然后将重采样信号用小波变换分解到规定的层数，最后运用Donoho软阈值法实现降噪．该方法无需人为选取小波分解层数，降噪过程自动完成．大量的仿真和实验算例验证了方法的正确有效性．
英文摘要：
In the current research on wavelet de-noising for rotor faults signal, the denoising effect often depends on the decomposing layer number, rotor rotating speed and signal sampling frequency. But, the de-noising process can not be realized automatically. For this reason, a new self-adaptive de-noising method for rotor fault signal was developed. Firstly, original data was re-sampled, secondly, re-sampled signal was decomposed to given layer number, finally, de-noising was achieved by Donoho soft threshold method. The denoising process can be performed automatically without manual selection of decomposing layer number. A number of examples from simulation and experiments verify the efficiency of this new method.
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