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Time domain signal diagnosis method and storage medium based on signal component difference quotient

A time-domain signal and signal component technology, applied in the field of data processing, can solve problems such as low feasibility, unstable detection efficiency and accuracy, and achieve the effects of reducing difficulty, increasing accuracy, and improving recognition.

Active Publication Date: 2021-03-05
WANSHSIN SEIKOU HUNAN CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, time-domain signals are usually accompanied by coupling between periodic signals and massive noise. In the face of non-stationary and nonlinear time-domain signals that are highly coupled with massive noise, the existing time-domain averaging and other time-frequency domain techniques are feasible. The accuracy is low, and the fault detection efficiency and accuracy are unstable.

Method used

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  • Time domain signal diagnosis method and storage medium based on signal component difference quotient
  • Time domain signal diagnosis method and storage medium based on signal component difference quotient
  • Time domain signal diagnosis method and storage medium based on signal component difference quotient

Examples

Experimental program
Comparison scheme
Effect test

example 1

[0065] Verification example 1: Verification of signal analysis technology for simulating complex time-domain signals: The following is combined with specific simulating complex time-domain signals to illustrate the verification part (1), the effect of decomposition processing of original time-domain signals.

[0066] Given a simulated complex time-domain signal generating function:

[0067] .

[0068] Given a sampling frequency of 1024Hz and a sampling time of 1s, the original time domain signal and analytical signal components of the simulated complex time domain signal are as follows: figure 2 As shown, it can be seen that the original time-domain signal is decomposed into signal component functions, the non-stationary and nonlinear components of the original time-domain signal are removed, and the recognition of fault information of the original time-domain signal is improved.

example 2

[0069] Verification example 2: Combined with the specific simulated complex time-domain signal to illustrate the effect of verifying the difference quotient on complex time-domain signal processing.

[0070] Utilize formulas through simulation programs , to construct a complex time-domain signal.

[0071] In the simulation program, the given sampling frequency is 6*10 3HZ, the total acquisition time is designed to be 2.5 seconds, m=2 is given, the similarity tolerance r is 0.15, and the number of signal generation points is 1000.

[0072] Use steps S1-S11 of the above-mentioned time-domain signal diagnosis method based on the signal component function difference quotient to calculate the difference quotient of the simulated complex time-domain signal, such as image 3 As shown, it can be seen that the difference quotient is inclusive to the noise signal, and when the signal component decomposed by the original time domain signal has a noise signal, it can be accurately proc...

example 3

[0073] Verification example 3: Taking the self-made planetary reducer test bench as the research object, set the speed of the planetary reducer to 2400r / min, set the sampling frequency to 5120Hz, set the sampling interval to 1s, and given the load, when the gear fails The original time-domain signals of the vibration acceleration of the planetary reducer are collected respectively in the two forms of normal gear and normal gear.

[0074] Given m=2, the distance threshold is 0.15, using the steps S1-S11 of the above-mentioned time-domain signal diagnosis method based on the signal component function difference quotient value, the difference quotient of the signal component function is calculated as shown in the following table. From the table, it can be seen that Different signal component functions have different difference quotients, and the difference quotients of signal components become smaller as the time scale of signal components decreases, which proves the feasibility o...

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Abstract

The invention discloses a time-domain signal diagnosis method based on the signal component function difference quotient value, introduces a signal analysis technology that can process non-stationary and nonlinear original time-domain signals, and based on the time measurement characteristics of the original time-domain signal, Analyze the original time-domain signal into multiple signal component functions, and remove the non-stationary and nonlinear features of the original time-domain signal; in the processing of massive noise, the difference quotient has a strong noise tolerance, using the distribution of the reconstructed signal Probability measures the complexity of the original time-domain signal. The greater the probability of reconstructing the signal, the greater the complexity of the reconstruction of the original time-domain signal. Usually, the difference quotient is proportional to the signal complexity, so that the original The signal component function obtained by time-domain signal analysis is used to distinguish the fault characteristics of the original time-domain signal by using the difference quotient.

Description

technical field [0001] The invention relates to the field of data processing, in particular to a time domain signal diagnosis method based on the signal component function difference quotient. Background technique [0002] In fault diagnosis, for example, in the vibration signal acquisition and diagnosis of rotary machinery and reciprocating machinery, since the signal reflecting its operating state is periodically repeated with the operation of the machine, the fault diagnosis of rotary machinery and reciprocating machinery is mainly based on the time domain For example, when the current signal of a motor is detected and diagnosed, the detected current signal is also a periodically repeated time-domain signal. [0003] Effectively extracting accurate fault information from time-domain signals has also become the core technology of modern fault diagnosis technology. Traditional time-frequency domain technology provides a solution for time-domain signal fault information extr...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00
CPCG06F2218/00G06F2218/04
Inventor 周清泉李超肖罗龚亚军阮志坚
Owner WANSHSIN SEIKOU HUNAN CO LTD