Noise reduction method suitable for heat exchange dirt detection signal

A technology for detecting echoes and signals, which is applied in the analysis of solids using sonic/ultrasonic/infrasonic waves, material analysis using sonic/ultrasonic/infrasonic waves, and processing response signals of detection, etc., to achieve good reference and reference, eliminate noise, and plan Feasible effect

Inactive Publication Date: 2019-11-22
NORTHEAST DIANLI UNIVERSITY
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Problems solved by technology

The existing signal processing methods are difficult to meet the needs of this problem. Therefore, it is necessary and urgent to study the noise reduction processing of the echo signal of heat exchange fouling ultrasonic detection.

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  • Noise reduction method suitable for heat exchange dirt detection signal
  • Noise reduction method suitable for heat exchange dirt detection signal
  • Noise reduction method suitable for heat exchange dirt detection signal

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Embodiment Construction

[0035] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0036] refer to figure 1 ,like figure 1 As shown, a noise reduction method suitable for ultrasonic time-domain detection of heat exchange fouling echo signals includes the following steps:

[0037] S1, use the center frequency difference method to define the number of variational modal components K, and treat the noise reduction signal Perform variational modal decomposition to obtain K modal components;

[0038] S2, calculating the autocorrelation function and energy entropy value of each modal component in step 1;

[0039] S3, according to the characteristics of the autocorrelation function ...

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Abstract

The invention discloses a noise reduction method suitable for a heat exchange dirt detection signal. The method comprises steps of S1, decomposing a target signal by using a VMD method to obtain a plurality of modal components; S2, analyzing an autocorrelation function characteristic curve of each component and calculating an energy entropy value of each component; S3, judging and identifying a noise dominant component; S4, extracting the useful information in the noise dominant component by using a wavelet shrinkage threshold method; and S5, reconstructing a signal to obtain a denoised signal. Based on the improved VMD method, a modal aliasing phenomenon is effectively avoided; for solving a problem that a noise dominant mode in all mode components of VMD decomposition are difficult to determine, the noise dominant mode is accurately judged by adopting a method of combining analysis of an autocorrelation function characteristic curve and calculation of an energy entropy value of eachcomponent, then wavelet shrinkage threshold processing of the noise dominant mode is carried out, and lastly the signal is reconstructed, and good noise reduction is achieved on the basis of fully reserving an original signal.

Description

technical field [0001] The invention relates to ultrasonic non-destructive detection of heat exchange fouling, in particular to a noise reduction method suitable for ultrasonic detection of heat exchange fouling echo signals. Background technique [0002] At present, heat exchange fouling exists widely in the actual production process, which seriously affects the safety and economy of heat exchange equipment operation. It shows a good application prospect in detection. [0003] Due to the complex formation process of heat transfer fouling, clutter interference and various noises often exist in the ultrasonic detection echo, which makes it difficult to accurately obtain the transit time and calculate the fouling thickness. At present, in the field of signal processing, for the noise reduction of nonlinear and non-stationary signals such as heat exchange fouling echo signals, wavelet denoising can filter out part of the noise, but its threshold selection standards are not uni...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N29/44G01N29/50G01N29/04
CPCG01N29/04G01N29/44G01N29/4427G01N29/50
Inventor 孙灵芳郭洪芙李霞祝国强朴亨
Owner NORTHEAST DIANLI UNIVERSITY
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