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Fluid mechanical modulation frequency extraction method based on energy kurtosis spectrum

A technology of fluid machinery and frequency modulation, applied in the field of signal processing, can solve problems such as failure, achieve the effects of reducing Gaussian noise and non-Gaussian noise interference, excellent anti-noise performance, and quantized demodulation effect

Active Publication Date: 2020-10-13
ZHEJIANG UNIV
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Problems solved by technology

However, this method is sensitive to impact noise, and it is easy to fail under low signal-to-noise ratio and non-Gaussian noise interference, and fluid machinery monitoring signals often contain various types of noise, so this method is limited in the application of fluid machinery

Method used

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  • Fluid mechanical modulation frequency extraction method based on energy kurtosis spectrum
  • Fluid mechanical modulation frequency extraction method based on energy kurtosis spectrum
  • Fluid mechanical modulation frequency extraction method based on energy kurtosis spectrum

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Embodiment Construction

[0074] The present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be noted that the following embodiments are intended to facilitate the understanding of the present invention, but do not limit it in any way.

[0075] Such as figure 1 As shown, the hydromechanical modulation frequency extraction method based on the energy kurtosis spectrum includes the following steps:

[0076] S01, signal noise reduction

[0077] The vibration, noise or underwater acoustic signals of fluid machinery are collected as monitoring signals, and the deterministic components in the monitoring signals are estimated by a linear predictor, and removed to obtain noise-reduced signals. The specific steps of signal noise reduction are:

[0078] S101, according to the mechanical structure and operating principle of the fluid machinery, preset the expression of the deterministic component in the monitoring signal;

[0079] S102, ...

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Abstract

The invention discloses a fluid machanical modulation frequency extraction method based on an energy kurtosis spectrum. The method comprises the steps: (1) collecting a monitoring signal of fluid machinery, and carrying out the signal noise reduction; (2) carrying out frequency band decomposition to obtain filtering signals of each frequency band; (3) calculating a shape factor and an energy factor of the filtering signal of each frequency band; (4) calculating an energy kurtosis spectrum of the filtering signal of each frequency band; (5) determining a target frequency layer according to a maximum criterion, and determining a plurality of filtering signals of the target frequency layer as target signals according to an average criterion; (6) calculating a square envelope spectrum of eachtarget signal, and further obtaining an average square envelope spectrum; (7) determining an observation frequency range, and selecting a reference value from an average square envelope spectrum in the observation frequency range; (8) capturing the characteristic frequency of the fluid machine from the average square envelope spectrum, and obtaining a corresponding signal representation ratio. According to the method disclosed in the invention, extraction and representation of the modulation frequency can be effectively realized under low signal-to-noise ratio and strong noise interference.

Description

technical field [0001] The invention belongs to the field of signal processing, in particular to a method for extracting fluid mechanical modulation frequency based on energy kurtosis spectrum. Background technique [0002] Fluid machinery is widely used in industrial production and military applications, and plays a vital role. The extraction of its characteristic frequency information not only helps the state monitoring of cooperative objects in industrial production, but also plays a key role in the target detection of non-cooperative objects in military applications. Traditional eigenfrequency extraction methods mainly include spectrum analysis and time-frequency analysis. [0003] The main method of spectrum analysis is Fourier transform. Its basic idea is to decompose the time-domain signal into trigonometric functions of different frequencies, so as to reflect the amplitude of different frequency components of the signal. This analysis method can better describe the...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H03H7/12G01H17/00G01H3/04G01H3/08G01H3/10
CPCH03H7/12G01H17/00G01H3/04G01H3/08G01H3/10
Inventor 伍柯霖吴大转初宁杨帅武鹏
Owner ZHEJIANG UNIV
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