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Multi-source time-frequency ridge line extraction method

A technology of time-frequency ridge line and extraction method, which is applied in the field of multi-source time-frequency ridge line extraction based on fast path optimal search and dynamic base angle, can solve problems such as non-stationarity and nonlinear vibration signal, and achieve enhanced time-frequency ridge line. Aggregate effect

Active Publication Date: 2019-09-17
SUZHOU UNIV
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Problems solved by technology

[0004] However, when the operating conditions of rotating mechanical equipment change or partial failures occur in key components, the collected vibration signals often exhibit nonlinear and non-stationary characteristics, and traditional time-domain and frequency-domain analysis methods often have great limitations.

Method used

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  • Multi-source time-frequency ridge line extraction method
  • Multi-source time-frequency ridge line extraction method
  • Multi-source time-frequency ridge line extraction method

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Embodiment Construction

[0048] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments, so that those skilled in the art can better understand the present invention and implement it, but the examples given are not intended to limit the present invention.

[0049] The construction of the simulation signal model is as follows

[0050] x(t)=x 1 (t)+x 2 (t)+η(t) (17)

[0051] where x 1 (t) represents the relevant component of the fault feature, defined as

[0052]

[0053] Among them, [1+αcos(2πx 2 (t))] reflected by the speed signal x 2 (t) The resonance phenomenon of demodulation, α=0.11 is the modulation amplitude, M represents the signal length, A m Indicates the amplitude of the mth impulse response, β=800 indicates the coefficient related to damping, ω r Indicates the excited resonant frequency, u(t) is a unit step function, t m Indicates the time at which the mth pulse occurs, defined as

[0054]

[0055] Among the...

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Abstract

The invention discloses and provides a multi-source time-frequency ridge line extraction method based on fast path optimal search and a dynamic base angle, and the method comprises the following step 1 of short-time Fourier transform and frequency band selection: analyzing a vibration signal by short-time Fourier analysis, and dividing a bearing signal into a low frequency band and a resonance frequency band. The multi-source time-frequency ridge line extraction method provided by the invention has the following beneficial effects that 1, the method firstly applies a fast path optimal search strategy to obtain continuous and accurate instantaneous frequency ridge lines, and then calculates a cut angle of the corresponding time point on the basis of the obtained ridge lines to obtain a basis function having a frequency matched with a target signal frequency, which is suitable for processing rolling bearing vibration signals under a variable speed non-stationary state.

Description

technical field [0001] The invention relates to the field of mechanical equipment signal processing, in particular to a multi-source time-frequency ridge line extraction method based on fast path optimal search and dynamic base angle. Background technique [0002] Bearing is one of the key components of rotating machinery, and its state directly affects the operating state of rotating machinery. Once a bearing fails, it will likely bring huge economic losses and even cause casualties. Signal processing and analysis is an effective way to realize bearing fault diagnosis. In terms of feature extraction of mechanical faults, earlier studies were based on signal processing methods based on time-domain analysis and frequency-domain analysis, most of which are suitable for analyzing linear and stationary dynamic signals. These methods are simple and efficient, and are widely used in actual mechanical fault diagnosis. [0003] The traditional technology has the following technica...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01M13/045G06K9/00
CPCG01M13/045G06F2218/16G06F2218/08
Inventor 石娟娟沈长青丁荣梅朱忠奎杜贵府江星星花泽晖
Owner SUZHOU UNIV