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A Rolling Bearing Fault Detection Method Based on DS Adaptive Spectrum Reconstruction

A rolling bearing and fault detection technology, which is applied in the testing of machines/structural components, testing of mechanical components, measuring devices, etc., can solve the problems of bearing failure mode judgment and low identification accuracy, and achieve the effect of improving accuracy and increasing the scope of application

Active Publication Date: 2021-07-27
SOUTHEAST UNIV
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Problems solved by technology

However, the recognition accuracy of a single eigenvector is low, and it is difficult to accurately judge the bearing fault mode

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  • A Rolling Bearing Fault Detection Method Based on DS Adaptive Spectrum Reconstruction
  • A Rolling Bearing Fault Detection Method Based on DS Adaptive Spectrum Reconstruction
  • A Rolling Bearing Fault Detection Method Based on DS Adaptive Spectrum Reconstruction

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Embodiment Construction

[0066] The technical solution of the present invention will be further described below in conjunction with the accompanying drawings.

[0067] Preferred embodiments of the present invention will be described below in conjunction with the accompanying drawings.

[0068] Such as figure 1 As shown, the purpose of the present invention is to provide a rolling bearing fault detection method based on DS adaptive spectrum reconstruction, and the specific extraction process of the feature vector includes:

[0069] Step 101: arranging the acceleration sensor to collect the fault vibration signal x(t) of the rolling bearing;

[0070] Step 102: Carry out Fourier transform to x(t), obtain its frequency band X(f), and cut X(f) into the minimum frequency band subset X(f)={X 1 ,X 2 ,...,X K ,...,X M}, K∈[1,M],

[0071] Extract six time-frequency domain indicators such as frequency band subset kurtosis, impulse factor, sparse factor, margin factor, kurtosis coefficient and Hilbert envel...

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Abstract

The invention discloses a rolling bearing fault detection method based on DS adaptive spectrum reconstruction. The method comprises the steps of: collecting the vibration time signal x(t) as a source signal; making the Fourier transform of the bearing vibration time signal x(t) be X (f), and subdivide it into the minimum spectrum subset set; use the improved DS evidence theory to create the evaluation subset function; use the bottom-up method to use the evaluation function as a feature index to reconstruct the spectrum and find the optimal Resonance zone; perform Beaulier reaction transformation on the optimal resonance zone, and then Hilbert transform; envelope spectrum analysis; identify whether there is an obvious peak in the fault feature according to the envelope spectrum; if not, the bearing is running normally, if If it exists, it means that there is a fault in the bearing and the operation needs to be terminated. The rolling bearing fault detection method based on DS adaptive spectrum reconstruction can more timely and accurately realize the feature vector extraction method of rolling bearing fault pattern recognition and state monitoring.

Description

technical field [0001] The invention relates to a rolling bearing fault feature extraction and pattern recognition method, belonging to the technical field of mechanical fault diagnosis and signal processing. Background technique [0002] As a key component of rotating machinery, rolling bearings are widely used in rotating machinery, and faults occurring in bearings must be detected as early as possible to avoid fatal mechanical failures that may cause production losses and casualties. According to the way to obtain effective fault information, the commonly used rolling bearing fault diagnosis methods mainly include: temperature detection method, oil liquid detection method, acoustic emission method, oil film resistance diagnosis method, optical fiber detection diagnosis method, gap measurement diagnosis method and vibration analysis method Wait. Among them, the vibration analysis method is one of the most commonly used methods for bearing fault diagnosis, which can effect...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01M13/045
Inventor 胡建中徐亚东许飞云贾民平彭英
Owner SOUTHEAST UNIV
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