Vibration signal frequency characteristic extraction method based on EEMD technology, CMF technology and WPT technology

A technology of vibration signal and frequency characteristics, applied in the field of mechanical engineering, can solve the problems of time-frequency analysis distortion, signal discontinuity, modal aliasing, etc., to improve the signal-to-noise ratio, avoid modal aliasing, and maintain integrity Effect

Inactive Publication Date: 2016-08-24
FUZHOU UNIVERSITY +1
View PDF2 Cites 17 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The inventor used the EMD decomposition method to decompose the vibration signal to obtain the corresponding IMF components in the paper "Feature Extraction of Diesel Engine Vibration and Acoustic Signal and Research on the Improvement of Low Vibration and Acoustic Body Structure". However, in the EMD decomposition, the signal is discontinuous. The obtained IMF components contain components of different time scales, which makes the related I

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Vibration signal frequency characteristic extraction method based on EEMD technology, CMF technology and WPT technology
  • Vibration signal frequency characteristic extraction method based on EEMD technology, CMF technology and WPT technology
  • Vibration signal frequency characteristic extraction method based on EEMD technology, CMF technology and WPT technology

Examples

Experimental program
Comparison scheme
Effect test

Example Embodiment

[0027] The present invention will be further described in detail below with reference to the accompanying drawings, so that those skilled in the art can implement it with reference to the text of the description.

[0028] A method for extracting frequency characteristics of vibration signals based on EEMD, CMF, and WPT technologies in an embodiment of the present invention is as follows: figure 1 As shown, including the following steps:

[0029] Step S110: Use an acceleration sensor to measure the diesel engine body to obtain a vibration acceleration signal;

[0030] Step S120,

[0031] (1) Initialize the overall average number M and add a limited value to the added white noise, and set i = 1;

[0032] (2) Take a white noise of a given amplitude n i (t) is added to the original signal x(t) to form a new signal x i (t), x i (t)=x(t)+n i (t), x(t) which represents the i-th additional noise signal, n i (t) represents the i-th white noise series added;

[0033] (3) The signal x of Gaussian ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a vibration signal frequency characteristic extraction method based on an EEMD technology, a CMF technology and a WPT technology. The method comprises the following steps: A. adopting an EEMD method to decompose a signal to obtain IMF components; B. selecting the IMF components according to a set critical value to prevent the IMF components from being removed; C. combining the relevant IMF components together by a CMF method to maintain the integrity of the signal; D. carrying out wavelet transform and wavelet packet decomposition to obtain the needed frequency information about the IMF components. The signal has continuity at various scales by means of adding Gaussian white noise having amplitude limitation, so that a modal aliasing phenomenon is effectively overcome, and signal extraction accuracy is improved.

Description

technical field [0001] The invention relates to the technical field of mechanical engineering, in particular to a vibration signal frequency feature extraction method based on EEMD, CMF and WPT technologies. Background technique [0002] "Energy and environment" are the two major research topics facing the development of automobile and internal combustion engine industry in the 21st century. In urban noise pollution, 75% comes from traffic noise with internal combustion engine as the main noise source. Internal combustion engine is the main vibration and noise source of vehicles, and the control of its vibration and noise has become one of the important research topics that are generally concerned by countries all over the world. In the research field of diesel engine vibration and noise control, feature extraction of vibration signals is a prerequisite, and the time-varying characteristics of vibration frequency components are important manifestations of signal features. ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06F19/00
CPCG16Z99/00
Inventor 杜宪峰李兴峰曹晓峰张立新刘福莉
Owner FUZHOU UNIVERSITY
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products