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Bearing early fault diagnosis method for multiple noise reduction processing

A technology for noise reduction and early failure. It is used in the testing of mechanical components, testing of machine/structural components, and measuring devices. It can solve the difficulty of increasing the difficulty of diagnosing early bearing failures, difficult to identify early bearing failures, and the surrounding environment. It can improve the efficiency of fault diagnosis, improve the speed and accuracy of diagnosis, and achieve good anti-noise effect.

Pending Publication Date: 2021-03-26
CHINA THREE GORGES UNIV
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AI Technical Summary

Problems solved by technology

However, rolling bearings often have the characteristics of weak impact components and large noise interference in the surrounding environment in the early failure stage, which makes it difficult to identify whether the bearing has an early failure on the one hand, and on the other hand increases the difficulty of early failure type diagnosis of the bearing

Method used

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  • Bearing early fault diagnosis method for multiple noise reduction processing
  • Bearing early fault diagnosis method for multiple noise reduction processing
  • Bearing early fault diagnosis method for multiple noise reduction processing

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Embodiment Construction

[0074] Such as figure 1 As shown, the bearing early fault diagnosis method with multiple noise reduction treatment includes the following steps:

[0075] Step 1: Collect the vibration signal of the bearing;

[0076] Step 2: Perform short-time Fourier transform on the vibration signal of the bearing to preliminarily judge whether the bearing is faulty;

[0077] Given a window function γ(t) with a very short time width, let the window slide, then the calculation formula of the short-time Fourier transform of the signal z(t) is as follows

[0078]

[0079] In the formula, * represents complex conjugate, t and f represent time and frequency respectively, STFT z (t,f) represents the short-time Fourier transform result of the signal z(t).

[0080] Step 3: Use wavelet packet transform to decompose and reconstruct the bearing vibration signal for preliminary denoising;

[0081] The calculation formula of binary wavelet packet decomposition is as follows:

[0082]

[0083] w...

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Abstract

The invention discloses a bearing early fault diagnosis method for multiple noise reduction processing. The method comprises the following steps: collecting a vibration signal of a bearing; carrying out short-time Fourier transform on the bearing vibration signal, and preliminarily judging whether the bearing has a fault or not; adopting wavelet packet transformation to decompose and reconstruct the bearing vibration signal, and carrying out preliminary denoising; decomposing, screening and reconstructing the wavelet packet reconstruction signal by using an ensemble empirical mode decomposition method; eliminating aliasing interference signals contained in the reconstructed signals, and performing multi-layer noise reduction on the bearing vibration signal; carrying out demodulation processing on the reconstructed signal after noise reduction, and extracting a bearing fault frequency; and comparing with a theoretically calculated fault frequency, and diagnosing to obtain a fault conclusion of the bearing. According to the method, a fault analysis mode combining wavelet packet transformation, an ensemble empirical mode decomposition method and autocorrelation calculation denoising is adopted, weak fault features are highlighted, bearing abnormity can be diagnosed and recognized as early as possible in the early fault stage of the bearing, and losses caused by equipment faults are avoided or reduced.

Description

technical field [0001] The invention belongs to the field of fault identification and diagnosis, and in particular relates to an early fault diagnosis method for bearings with multiple noise reduction treatments. Background technique [0002] Rotating machinery is widely used in industries related to national economy and people's livelihood, such as aerospace, military industry and petroleum industry. Rolling bearings are elements that are extremely vulnerable to damage or failure in rotating machinery. Relevant data show that about one-third of the failures of rotating machinery are caused by the failure of rolling bearings; among the failures of motors, the failures caused by bearing failures account for about two-fifths; The rolling bearings that have passed must be tested, and about one-third of the rolling bearings need to be replaced, otherwise it is easy to cause irreversible serious accidents. The above facts show that in order to ensure the stable and efficient op...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01M13/045G06K9/00
CPCG01M13/045G06F2218/06G06F2218/12
Inventor 王林军徐洲常蔡康林刘洋
Owner CHINA THREE GORGES UNIV
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