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Method for detecting mechanical pulsing signal based on soft threshold function

A technology for mechanical pulse and signal detection, applied in the fields of information electronics, signal processing, and mechanical engineering, it can solve problems such as inability to eliminate bad signals, and achieve the effects of improving the accuracy of results, eliminating noise and improving accuracy.

Inactive Publication Date: 2013-08-21
ZHEJIANG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, there is still overlap in the corrected results
The wavelet ridge extraction method cannot eliminate the bad signal caused by the overlap, and the overlap will still exist and affect our correct understanding of the signal
[0022] It can be seen that only by the Donoho method to process the CWT, although the structure caused by the noise can be significantly reduced, there will still be overlaps in the image

Method used

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  • Method for detecting mechanical pulsing signal based on soft threshold function
  • Method for detecting mechanical pulsing signal based on soft threshold function
  • Method for detecting mechanical pulsing signal based on soft threshold function

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0069] This example examines the effectiveness of this method in improving the quality of CWT results by using a frequency-increased chirp signal with noise.

[0070] This signal can be represented by the following equation:

[0071] x(t)=x'(t)+ε·z(t)

[0072] Among them, z(t) is a constant parameter, its value is generally between 5 and 10, which is related to white noise;

[0073] ε=2 means the noise level;

[0074] x'(t) is a chirp signal with increased frequency, x'(t)=sin(2πft), where the frequency f increases from 5Hz to 25Hz.

[0075] This signal adopts the method of the present invention to revise:

[0076] (1) Design a soft threshold function based on prime numbers

[0077] The designed prime-based soft threshold function is as follows:

[0078] s = e - [ max ( | ...

Embodiment 2

[0108] This embodiment checks the effectiveness of the method of the present invention in improving the quality of CWT results by using mechanical signals with intermittent voltage fluctuations collected in a cooling system. In data sampling, a sampling signal with a frequency of 40KHz is used, and the signal is expressed as x (t).

[0109] This signal adopts the method of the present invention to revise:

[0110] (1) Design a soft threshold function based on prime numbers

[0111] The designed prime-based soft threshold function is as follows:

[0112] s = e - [ max ( | c i | ) - | ...

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Abstract

A method for detecting a mechanical pulsing signal based on a soft threshold function comprises the following steps: (1) building the soft threshold function based on a prime number, (2) carrying out an envelopment analysis on the mechanical pulsing signal, (3) with the same time shifting, correcting the mechanical pulsing signal, analyzed in an envelopment mode, in the step (2) and removing overlap by the soft threshold function in the step (1), and (4) further correcting the corrected mechanical pulsing signal in the step (3) through a Donoho method and removing noise. By means of the method, spectral characteristics of an observed signal become more obvious and can be confirmed more easily, so that very remarkable help is brought to analysis accuracy of irregular signals. Analysis accuracy of abnormal signals will be affected remarkably. A series of simulation experiments and actual experiments show that by means of the method, the precision of a continuous wavelet transform (CWT) result is remarkably improved, and definition of spectral characteristics of an observed model is improved.

Description

technical field [0001] The invention relates to the fields of mechanical engineering, information electronics and signal processing, in particular to a method for detecting mechanical pulse signals based on a soft threshold function. Background technique [0002] Continuous wavelet transform (CWT) is the tool of choice for extracting transient features and anomalous signals due to its stable bandwidth-frequency ratio, which can provide powerful multiresolution analysis in time and space. Today, it has been widely used in various engineering fields. [0003] However, a small number of undesirable phenomena in CWT results still restrict its wider engineering application. First, since CWT uses the wavelet equation and the observation model matching mechanism to determine the characteristics of the signal, overlap in the results is inevitable [Newland, D.E., 1999, "Ridge and phase identification in the frequency analysis of transient signals by harmonic wavelets," Trans. ASME,...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01D21/00
Inventor 赵磊任艳姣陆胜李伟郑斌
Owner ZHEJIANG UNIV