A Keyless Phase Order Tracking Method for Speed ​​Fluctuation of Rotating Machinery

A technology for speed fluctuations and rotating machinery, applied in the measurement of ultrasonic/sonic/infrasonic waves, testing of machines/structural components, instruments, etc., can solve problems such as inability to extract time-domain waveforms, poor calculation accuracy, etc., to reduce the cost of fault diagnosis, Effects with a clear amplitude and a wide range of applications

Active Publication Date: 2022-04-01
TONGJI UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0009] The purpose of the present invention is to provide a method to effectively eliminate the "spectrum ambiguity" caused by variable speed in order to overcome the defects of the above-mentioned prior art that require hardware equipment, have poor calculation accuracy, are only applicable to weak speed fluctuations, and cannot extract time-domain waveforms. Unfavorable effects, realize accurate and reliable fault diagnosis of rotating machinery under variable speed conditions, keyless phase order tracking method for rotating machinery speed fluctuations

Method used

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  • A Keyless Phase Order Tracking Method for Speed ​​Fluctuation of Rotating Machinery
  • A Keyless Phase Order Tracking Method for Speed ​​Fluctuation of Rotating Machinery
  • A Keyless Phase Order Tracking Method for Speed ​​Fluctuation of Rotating Machinery

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Embodiment 1

[0150] Such as figure 1 As shown, it is a keyless phase order tracking method for the speed fluctuation of rotating machinery. Assuming that the variable speed vibration signal is x(t), the method specifically includes the following steps:

[0151] Step 1: Install a vibration acceleration sensor near the rotating machinery to collect the vibration acceleration signal x(t) during variable speed operation;

[0152] Step 2: Perform discrete short-time Fourier transform (STFT) on the collected signal to obtain the time-frequency expression TFR(t,f), which specifically includes the following steps:

[0153] Step 201: Set the window function length N W and Fourier points L F , to construct the corresponding window function g(t):

[0154]

[0155] In the formula, σ is the window function coefficient;

[0156] Step 202: Perform discrete short-time Fourier transform (STFT) on the variable speed vibration acceleration signal x(t) to obtain the time-frequency expression TFR(t,f): ...

Embodiment 2

[0241] Such as figure 2 As shown, it is a second embodiment of the keyless phase order tracking technology for rotational speed fluctuations of rotating machinery. The vibration simulation signal x(t) of the gearbox is constructed, and the instantaneous rotational frequency of the reference shaft is:

[0242] f(t)=[500+1000*sin(2π·0.1t)] / 50 (40)

[0243] The amplitude modulation and phase modulation functions caused by the fault are:

[0244]

[0245] The gearbox vibration signal x(t) is:

[0246]

[0247] The concrete implementation result of this embodiment is as follows:

[0248] Set the basic parameters of the variable speed vibration signal: the highest meshing frequency order K=2, the number of faulty gear teeth N=16, the amplitude of the kth order meshing frequency X k = 1, initial phase Signal sampling frequency Fs=4000Hz, sampling time t=5s, signal-to-noise ratio SNR=-6dB.

[0249] Using the fast Fourier transform (FFT) method, the gearbox vibration signa...

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Abstract

The invention relates to a keyless phase order tracking method for rotational speed fluctuations of a rotating machine, comprising: obtaining a vibration acceleration signal of a rotating machine; performing discrete short-time Fourier transform to obtain a time-frequency expression; , to estimate the initial time-frequency ridge of the time-frequency expression; through the variational nonlinear frequency modulation mode decomposition method, extract the dynamic characteristics of the signal according to the vibration acceleration signal and the initial time-frequency ridge; perform Hilbert transform on the dynamic characteristics of the signal and unwinding calculation to obtain the instantaneous phase curve of the modal component, and then perform equal-angle resampling to obtain the angle domain signal; window the angle domain signal and convert it to the order domain by discrete Fourier transform, perform spectral analysis and realize Troubleshooting. Compared with the prior art, the present invention can eliminate the adverse effect of spectrum ambiguity caused by speed change without resorting to hardware devices such as key phase triggers, and effectively perform signal processing and fault diagnosis for rotating machinery with significant variable speed conditions.

Description

technical field [0001] The invention relates to the field of fault diagnosis of rotating machinery, in particular to a keyless phase order tracking method for rotating speed fluctuations of rotating machinery. Background technique [0002] Rotating machinery is the key equipment in the industrial sector, widely used in electric power, petrochemical, transportation, energy, aerospace and other fields. With the rapid development of modern industry and science and technology, high-speed train transmission system, wind power The representative rotating machinery is developing in the direction of large volume, centralized equipment, system automation, intelligent control, and high-speed operation. The service environment is harsher, the operating conditions are more complex and unstable, and the problem of failure and failure is more acute. Taking the failure data of various train systems of the Guangzhou Metro as an example during the three-year period, running part failures acc...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01M99/00G01H17/00
CPCG01M99/005G01M99/008G01H17/00
Inventor 牛刚赵弘扬姜源
Owner TONGJI UNIV
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