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Method and system for expressing time-varying holographic features of rotating machinery

A technology of feature expression and rotating machinery, applied in complex mathematical operations, instruments, measuring devices, etc., can solve the problem of large amount of calculation, inability to accurately identify time-varying features, and weaken the synthesis effect of amplitude and phase information of two vertical vibration signals etc. to achieve the effect of enhancing expression ability and avoiding the loss of transient features

Active Publication Date: 2022-02-11
UNIV OF SCI & TECH BEIJING
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

When the rotation speed changes arbitrarily with time, the holographic ellipses at different rotation speeds overlap each other, and the time-varying features cannot be accurately identified
In addition, the method of extracting components of different rotation speed orders based on Kalman filtering relies on complex multi-parameter optimization, which requires a large amount of calculation and takes a long time, and the effect and accuracy depend on the artificially set weight parameters. , the difference in weight parameters causes additional errors, which weakens the synthesis effect of the amplitude and phase information of the two vertical vibration signals

Method used

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  • Method and system for expressing time-varying holographic features of rotating machinery
  • Method and system for expressing time-varying holographic features of rotating machinery
  • Method and system for expressing time-varying holographic features of rotating machinery

Examples

Experimental program
Comparison scheme
Effect test

Embodiment approach 1

[0077] Embodiment 1: (extracting the integer order feature of the conversion frequency)

[0078] 1) Collect two mutually perpendicular radial vibration displacement signals x(t) and y(t) on a section of the rotor at equal time intervals, and collect the speed signal s(t) synchronously;

[0079] 2) Take the integer order O of the rotation frequency m =m(m=1,2,...M), as the extracted feature order;

[0080] 3) Calculate the instantaneous frequency s(t) corresponding to the characteristic order to be extracted according to the rotational speed signal s(t). m , integral to time t to obtain the instantaneous phase ∫s(t)O m dt, using this instantaneous phase information to divide the time-varying frequency component s(t)O in x(t) and y(t) m Converted to a fixed frequency component F s / 4, where F s Represents the sampling frequency of the vibration signal, and the conversion process can be expressed as

[0081] x m (t)=H[x(t)]exp[-i2π∫s(t)O m dt+iπF s / 2]

[0082] the y m...

Embodiment approach 2

[0090] Embodiment 2: (calculate and extract possible fault order features based on structural parameters)

[0091] 1) Collect two mutually perpendicular radial displacement signals x(t) and y(t) on a section of the rotor at equal time intervals, and collect the speed signal s(t) synchronously;

[0092] 2) According to the actual structure of the measured rotor shaft system (including the number of blades on the rotor, the number of teeth of the gear transmission, etc.), calculate the proportional coefficients between M possible fault characteristic frequencies and the rotor rotation frequency, as the extracted characteristic order O m (m=1,2,...M);

[0093] 3) Calculate the instantaneous frequency s(t) corresponding to the characteristic order to be extracted according to the rotational speed signal s(t). m , integral to time t to obtain the instantaneous phase ∫s(t)O m dt, using this instantaneous phase information to divide the time-varying frequency component s(t)O in x(t...

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Abstract

The invention discloses a method and system for expressing time-varying holographic features of rotating machinery, comprising: collecting two mutually perpendicular radial vibration displacement signals on a selected section of a rotor at equal time intervals, and synchronously collecting speed signals; determining the to-be-extracted Characteristic order: using time-varying phase demodulation and time-varying filtering, the characteristic order to be extracted is separated into a single time-varying frequency component signal from two mutually perpendicular radial vibration displacement signals; for each characteristic order The second step is to synthesize two mutually perpendicular radial vibration displacement signals to construct a three-dimensional helix that changes with time; arrange the three-dimensional helixes corresponding to each order in order to construct horizontal radial amplitude, vertical radial amplitude, and time , four-dimensional time-varying holographic spectrum of order; combining the order axis and the horizontal displacement axis, expressing the four-dimensional time-varying holographic spectrum as a combination of three-dimensional visualization spirals. The invention enhances the ability to express time-varying features, and is suitable for operating conditions where the rotational speed changes arbitrarily with time.

Description

technical field [0001] The invention relates to the technical field of fault diagnosis of rotating machinery, in particular to a method and system for expressing time-varying holographic features of rotating machinery under non-stable operating conditions. Background technique [0002] The operation status monitoring and fault diagnosis of large rotating machinery are important means to ensure the safe operation of equipment. In order to accurately extract state information from measured vibration signals, commonly used feature extraction methods are mainly divided into time domain features and frequency domain features. However, although time-domain features such as waveforms and time-domain indicators can reflect the relationship between signal strength and weakness, it is difficult to accurately determine the location and cause of the fault based only on the strength of vibration; frequency-domain features such as Fourier spectrum and envelope spectrum can reflect differe...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01D21/02G06F17/18
CPCG01D21/02G06F17/18
Inventor 冯志鹏陈小旺
Owner UNIV OF SCI & TECH BEIJING
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