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Cyclic Wiener Filtering Algorithm in Discrete Cosine Transform Domain for Vibration Signal

机译:离散余弦变换域振动信号的循环维纳滤波算法

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In order to solve the problem that the effect of using cyclic Wiener filter directly to remove the noise on the non-stationary vibration signal is poor, the paper applies discrete cosine transform to the cyclic Wiener filter, proposing the cyclic Wiener filtering algorithm in discrete cosine transform domain for the vibration signal. Using the energy concentration characteristic of discrete cosine transform and the linear phase characteristic of cyclic Wiener filtering, the paper adopts the method of combining both of them with segmented processing to give full play to the performance of the Wiener filter and achieves a better filtering effect with a lower filter order. Combining with industrial field turbine vibration signal, paper makes a simulation analysis for this algorithm. The result of simulation shows that the algorithm has a good noise filtering effect, and the filtered signal has no obvious phase distortion. So, the algorithm is suitable for removing noise on vibration signal and the filtering effect is better than just using cyclic Wiener filter or DCT filter only.
机译:为了解决直接使用循环维纳滤波器去除噪声对非平稳振动信号的效果差的问题,本文将离散余弦变换应用于循环维纳滤波器,提出了在离散余弦中的循环维纳滤波算法。振动信号的变换域。利用离散余弦变换的能量集中特性和循环维纳滤波的线性相位特性,采用两者结合分段处理的方法,充分发挥维纳滤波器的性能,达到了更好的滤波效果。较低的过滤器顺序。结合工业现场汽轮机振动信号,对该算法进行了仿真分析。仿真结果表明,该算法具有良好的噪声滤波效果,滤波后的信号没有明显的相位失真。因此,该算法适用于去除振动信号上的噪声,其滤波效果优于仅使用循环维纳滤波器或DCT滤波器。

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