Study on Bearing Load Signal De-noising Methods of the Rotor System
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摘要: 针对传统的形态学滤波和小波降噪算法不能很好地对转子轴承载荷信号进行降噪,在这两种算法的基础上提出了一种小波形态滤波方法。给出了该方法的降噪原理,研究了该方法在随机噪声干扰下的降噪效果。比较了小波形态滤波与形态学滤波分别对仿真信号与工程实际信号的滤波效果。结果表明:小波形态滤波方法可以很好地消除转子轴承载荷信号中随机信号的干扰,提高信号的信噪比,并且抑制了信号失真现象的出现,实现信号的降噪处理。Abstract: Aiming at the problem that the traditional morphology filter and wavelet de-noising algorithms cannot very well reduce the noise of rotor bearing load signal,a new wavelet morphology filter method was proposed in this paper. The methods of wavelet morphology filter and the generalized morphology filtering were used to simulation and experiment signals,respectively,and the results of the two methods were compared. It was demonstrated that the wavelet morphology filter method could depress the random signal more effectively,and it also can improve the SNR( signal-noise ratio). In addition,this new method can inhibit the de-noising signal distortion and accomplish the processing of the signal de-noising.
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Key words:
- algorithms /
- bearings (machine parts) /
- computer simulation /
- computer software /
- experiments
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