Research on Automatic Noise Removal of Robot Arm Vibration Signal Based on Improved Wavelet Packet Transform
During the movement of a robotic arm,vibrations of different frequencies and amplitudes are generated due to friction,collision,and structural resonance effects between various components.At the same time,vibrations are transmitted to the outside through the structure of the robotic arm,resulting in noise.In response to the above phenomenon,a study on automatic noise removal of robotic arm vibration signals based on improved wavelet packet transform is proposed.Collect the vibration signals of the robotic arm as the basic data for analysis,and use wavelet packet transform to decompose the vibration signals of the robotic arm,obtaining useful signals and noise signals in different frequency ranges.On the basis of decomposition,combined with the characteristics of the vibration signal of the robotic arm,an improved wavelet packet transform is used to determine the denoising threshold function.Combined with mathematical morphology filtering technology,the noise components in the vibration signal are accurately identified and automatically removed.The results show that the research method effectively eliminates noise in the vibration signal of the robotic arm,and can obtain a purer signal in the robotic arm,which has practical application value.
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