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Method for filtering spectral kurtosis of signal and relevant device

A spectral kurtosis and signal technology, applied in the field of signal processing, can solve the problems of inability to effectively extract the transient characteristics of signals, compromise of time and frequency resolution, and achieve the effect of avoiding the dependence of experience and effectively extracting

Inactive Publication Date: 2013-01-09
SUZHOU UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, in the process of realizing the embodiment of the present invention, the inventors found that the disadvantage of this method is that there is a trade-off between time and frequency resolution in the selection of window width, and the time window width needs to be selected multiple times, so this method needs to a large extent Depends on experience, and cannot effectively extract signal transient features under strong background noise

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  • Method for filtering spectral kurtosis of signal and relevant device
  • Method for filtering spectral kurtosis of signal and relevant device
  • Method for filtering spectral kurtosis of signal and relevant device

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Experimental program
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Embodiment 1

[0118] Embodiment 1: Application in fault feature detection of bearing outer ring;

[0119] The outer ring of the bearing is the main part of the bearing fault. When there is a partial fault in the outer ring of the bearing, the vibration of the bearing has an impact response due to the rolling body passing through the outer ring, and a transient characteristic signal is generated. But because the collected vibration signal is often mixed with strong background noise, it needs to be filtered, so the spectral kurtosis filtering method of the signal of the present invention can be used to find the fault characteristic frequency band and establish the optimal bandwidth Morlet wavelet filter , to filter the vibration signal and extract its transient features.

[0120] The vibration signal is collected on the bearing fault test bench. The bearing model is NJ208 cylindrical roller bearing. The 0.2mm through-crack fault is set on the outer ring of the bearing by wire cutting to simul...

Embodiment 2

[0124] Embodiment 2: application in gear fault feature detection;

[0125] The vibration of the gear is mainly caused by the impact between the meshing teeth, and when the gear has pitting corrosion, fatigue spalling, broken teeth, gluing and other faults, the transient characteristics of the vibration signal will change accordingly, such as Periodicity, amplitude, etc. Due to the existence of background noise, the transient characteristics of the collected signal are often submerged, and the transient characteristics of the signal cannot be effectively identified. Therefore, the spectral kurtosis filtering method of the signal described in the present invention can be used to filter the vibration signal of the gear and extract its transient characteristics.

[0126] The test object is an automobile transmission gearbox, the model is LC5T81, it has 5 forward gears and 1 reverse gear. This paper takes the third gear as the research object, and mainly measures the gear vibrati...

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Abstract

The embodiment of the invention discloses a method for filtering the spectral kurtosis of a signal and a relevant device, and is used for filtering the signal with high background noise and extracting a transient feature of the signal. The method comprises the following steps of: acquiring an input signal; building a Morlet wavelet filter group which takes the signal feature frequency of the input signal as a center frequency and has different bandwidths; filtering the input signal according to the Morlet wavelet filter group, and calculating a signal square envelop; calculating the spectral kurtosis according to the signal square envelop, and obtaining a spectral kurtosis damp ratio matrix; adaptively acquiring a Morlet wavelet filter with the optimal bandwidth according to the spectral kurtosis damp ratio matrix; and filtering the input signal by using the Morlet wavelet filter with the optimal bandwidth, and extracting the transient feature of the input signal.

Description

technical field [0001] The present invention relates to the technical field of signal processing, in particular to a signal spectrum kurtosis filtering method and a related device. Background technique [0002] Filtering is one of the most basic and extremely important technologies in signal processing. Using filtering technology, the desired signal can be extracted from the noisy signal and the unwanted signal can be suppressed. Spectral kurtosis belongs to the category of high-order statistics and is a fourth-order cumulant. It can completely suppress Gaussian noise in theory, characterize the non-stationary signal in the signal, and determine its position on the frequency band. At present, the spectral kurtosis method It has been widely used in the fault diagnosis of mechanical vibration system. At the same time, the proposal and development of spectral kurtosis also provides a new method for signal filtering. [0003] Existing signal spectral kurtosis filtering methods ...

Claims

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Application Information

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IPC IPC(8): G01M13/00G01M13/04G01M13/02G01H17/00
Inventor 李成刘海洋李双黄伟国朱忠奎
Owner SUZHOU UNIV
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