Rotary machine coupling fault diagnosis method based on SCA and FastICA

A technology for coupling faults and rotating machinery, applied in the testing, measuring devices, instruments, etc. of machine/structural components, which can solve problems such as errors and erroneous conclusions, and achieve the effect of effective extraction, improvement of signal-to-noise ratio, and noise reduction

Pending Publication Date: 2020-12-15
LUOYANG NORMAL UNIV
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  • Abstract
  • Description
  • Claims
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Problems solved by technology

[0006] The purpose of the present invention is to provide a rotating machinery coupling fault diagnosis method based on SCI and FastICA, to solve the problem that large

Method used

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  • Rotary machine coupling fault diagnosis method based on SCA and FastICA
  • Rotary machine coupling fault diagnosis method based on SCA and FastICA
  • Rotary machine coupling fault diagnosis method based on SCA and FastICA

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Embodiment

[0079] Example: figure 1 The simulation diagram of the experimental platform of the present invention is given.

[0080] The process is as follows:

[0081] Establish a noise-containing blind source separation model, and perform q times of cumulative processing on the low signal-to-noise ratio observation signal s(t);

[0082] Update the input signal s(t), calculate the effective average value of the noisy signal,

[0083] Equalize and smooth preprocess the signal;

[0084] Separation of blind source signals using FastICA;

[0085] Smooth the separated signal and observe the separation result;

[0086] Analyze signal characteristics and perform fault diagnosis.

[0087] more specific:

[0088] First: Use the acceleration sensor to test the rotating mechanical equipment to obtain its aliased coupling vibration signal;

[0089] Second: The observed signal is a low signal-to-noise ratio signal y(t), and a noise-containing blind source separation model is established;

...

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Abstract

The invention relates to the technical field of rotary machine fault diagnosis, and concretely relatesto a rotary machine coupling fault diagnosis method based on SCA and FastICA. The method specifically comprises the following steps: 1, acquiring a rotor vibration signal of a coupling fault of the rotary machine through a plurality of sensors; 2, introducing a synchronous accumulation average noise reduction algorithm, and performing noise reduction on the acquired vibration signal in combination with signal equalization and smoothing processing; 3, separating the denoised signals by using aFastICA algorithm, and separating out each single fault characteristic signal; and 4, carrying out corresponding diagnosis on each separated single fault characteristic signal. According to the method, impulse noise and white noise can be effectively filtered out, noise is reduced, the signal-to-noise ratio is increased, effective extraction of fault feature signals is achieved, and the method isan effective diagnosis method for the coupling fault of the rotary machine system.

Description

technical field [0001] The invention relates to the technical field of fault diagnosis of rotating machinery, in particular to a method for diagnosing faults of rotating machinery coupling based on SCA and FastICA. Background technique [0002] When the rotating machine is running, the vibration signal measured by the sensor is mixed with various vibration sources, which contains strong noise. Traditional signal processing methods are difficult to separate mixed signals, which brings difficulties to machine health monitoring and fault diagnosis. The principle and method of blind source separation are introduced, and it is pointed out that blind source separation algorithm is ineffective in the environment of strong impulse noise. In this environment, the vibration signal is firstly denoised by the Synchronous Cumulative Average (SCA) method, and then separated by the improved Fast Independent Component Analysis (FastICA) algorithm. The results of simulation test and rotor ...

Claims

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Application Information

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IPC IPC(8): G01M99/00
CPCG01M99/004G01M99/005
Inventor 苗锋周涛王贤立
Owner LUOYANG NORMAL UNIV
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