Monitoring signal filtering method based on wavelet analysis and threshold processing
A technology of threshold processing and wavelet analysis, which is applied in elastic testing, machine/structural component testing, measuring devices, etc., and can solve problems such as large monitoring errors, jittering monitoring data, and poor results
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[0023] Example: such as Figure 1-2 As shown, the present invention is a monitoring signal filtering method based on wavelet analysis and threshold processing, step S1: by deploying sensors, real-time monitoring and obtaining the information monitoring data of the sensors, the information monitoring data obtained from the sensors will be used as signal data s;
[0024] Because in view of the situation of the bridge, relatively random high-frequency vibration is often caused by noise or dynamic load. The obtained monitoring data is regarded as composed of signal, noise and abnormal value. Noise characteristics: high-frequency coefficient accounts for a large proportion , the proportion of low-frequency coefficients is small, in the same frequency, some specific positions w jk (The kth detail coefficient of the jth layer after wavelet decomposition) has a larger value, these points correspond to the distortion position of the original signal or the important information position...
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