Signal analysis of rolling mill vibration based on morphological undecimated wavelets and S-transform
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摘要: 為了確定板帶連軋中多臺軋機振動的起振順序,首先在形態非抽樣小波一般框架的基礎上,構造了一種基于多尺度平均濾波器的形態非抽樣小波.然后通過仿真實驗,得到此形態非抽樣小波尺度與頻率之間的關系.最終利用基于多尺度平均濾波器的形態非抽樣和S變換的方法對軋機振動信號進行分析,成功提取了故障頻率的起振時間,確定了軋機的起振順序.Abstract: A algorithm was proposed to distinguish the initial vibration of rolling mills in tandem rolling.Firstly, a new morphological un-decimated wavelet(MUDW) based on a multi-scale average filter is developed according to the MUDW's general structure.Then the relationship between the new MUDW scale and real frequency is found by simulation experiment.Finally the time information of fault frequency from rolling mill vibration signals is extracted using the algorithm based on the new MUDW and S-transform.
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Key words:
- rolling mills /
- machine vibrations /
- signal analysis /
- feature extraction /
- filters
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