Rolling bearing early fault diagnosis method based on bandwidth Fourier decomposition
A rolling bearing, early failure technology, applied in the field of measurement, can solve problems such as the lack of effective diagnosis of weak faults, and achieve the effect of fast calculation speed and high diagnosis accuracy
Inactive Publication Date: 2020-11-03
SOUTHEAST UNIV
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At present, scholars at home and abroad have done a lot of research work on the fault diagnosis of rolling bearings, but there is still a lack of in-depth research on the effective diagnosis of early weak faults in the natural degradation process of rolling bearings.
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[0051] The present invention is described in further detail now in conjunction with accompanying drawing. These drawings are all simplified schematic diagrams, which only illustrate the basic structure of the present invention in a schematic manner, so they only show the configurations related to the present invention.
[0052] Such as Figure 12 As shown, a kind of rolling bearing early fault diagnosis method based on bandwidth Fourier decomposition of the present invention comprises the following steps:
[0053] Step 1: Adaptively decompose the original vibration signal into a bandwidth modal function through bandwidth Fourier decomposition;
[0054] The goal of bandwidth Fourier decomposition is to transform the time-domain signal f(t) into a frequency-domain signal F(ω) through Fourier transform, and adaptively decompose it into K sparse ones with {ω k} as the center of the narrow-band sub-signal {U k (ω)}, and then transform {U k (ω)} converted to the bandwidth modal ...
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The invention relates to a rolling bearing early fault diagnosis method based on bandwidth Fourier decomposition, and the method comprises the steps: decomposing an original signal into sparse narrow-band sub-signals in a frequency domain through a bandwidth Fourier decomposition algorithm, and converting each narrow-band sub-signal into a bandwidth mode function of a time domain through inverse Fourier transform; after an original vibration signal is decomposed into a bandwidth modal function, solving an envelope spectrum of the bandwidth modal function through Hilbert transform, and calculating a fault characteristic frequency ratio of the bandwidth modal function, and finally, selecting the bandwidth modal function with the maximum fault characteristic frequency ratio, and analyzing theenvelope spectrum characteristics of the bandwidth modal function, so that effective diagnosis of early faults of the rolling bearing is realized. The method has the characteristics of high calculation speed and high fault identification precision, and can be effectively applied to diagnosis of early weak faults of the rolling bearing.
Description
technical field [0001] The invention relates to an early fault diagnosis method for rolling bearings based on bandwidth Fourier decomposition, which belongs to the technical field of measurement. Background technique [0002] Rolling bearings are one of the most widely used components in industrial production, and they play the role of "joints" in rotating machinery. Due to the effects of alternating loads, wear and chemical erosion, rolling bearings are also one of the most prone to failure parts. Effective diagnosis of early failures is crucial to timely discovery and elimination of equipment safety hazards and improvement of operational reliability and economy. has important practical significance. At present, scholars at home and abroad have done a lot of research work on the fault diagnosis of rolling bearings, but there is still a lack of in-depth research on the effective diagnosis of early weak faults in the natural degradation process of rolling bearings. Content...
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IPC IPC(8): G06K9/00G06F17/14G01M13/045
CPCG06F17/14G01M13/045G06F2218/08G06F2218/12
Inventor 邓艾东邓敏强朱静史曜炜刘洋
Owner SOUTHEAST UNIV