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Fault discrimination method of gearbox

A fault discrimination and gear box technology, which is applied in the testing of mechanical components, character and pattern recognition, testing of machine/structural components, etc., can solve the problem of low accuracy of fault discrimination and achieve the effect of increasing the accuracy of discrimination

Pending Publication Date: 2022-06-28
YANTAI JEREH PETROLEUM EQUIP & TECH CO LTD
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

[0004] The main purpose of the present invention is to provide a method for fault discrimination of gearboxes to solve the technical problem of low accuracy of fault discrimination of gearboxes in the prior art

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  • Fault discrimination method of gearbox
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  • Fault discrimination method of gearbox

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Embodiment Construction

[0018] It should be noted that the embodiments in the present application and the features of the embodiments may be combined with each other in the case of no conflict. The present invention will be described in detail below with reference to the accompanying drawings and in conjunction with the embodiments.

[0019] like figure 1 As shown, an embodiment of the present invention provides a method for judging a fault of a gearbox, and the method for judging a fault of a gearbox includes: acquiring the data of the vibration signal of the gearbox; processing the data of the vibration signal of the gearbox to obtain a classification Spectral kurtosis weighted and mean SPFK mean and subspectral kurtosis weighted sum mean SPFK mean Based on subspectral kurtosis weighting and mean index reference value SPFK meanB Degree of Separation SPFK div ;The separation degree SPFK div Compared with the preset degree of separation σ, according to the degree of separation SPFK div The comp...

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Abstract

The invention provides a fault discrimination method for a gearbox. The method comprises the following steps: acquiring data of a vibration signal of the gearbox; processing the data of the vibration signal of the gearbox to obtain a spectral kurtosis weighted sum mean SPFKmean and a separation degree SPFKdiv of the spectral kurtosis weighted sum mean SPFKmean based on a spectral kurtosis weighted sum mean index reference value SPFKmean B; and comparing the separation degree SPFKdiv with a preset separation degree sigma, and judging whether the gearbox is normal or not according to a comparison result of the separation degree SPFKdiv and the preset separation degree sigma. Through the technical scheme provided by the invention, the technical problem that the fault judgment accuracy of the gearbox in the prior art is relatively low can be solved.

Description

technical field [0001] The present invention relates to a method for judging faults of a gearbox, in particular to a method for judging faults of a gearbox. Background technique [0002] At present, most of the research on fault detection of gearboxes is to detect the gearbox temperature, lubricating oil and other indicators, or to build svm, cnn and other machine learning or deep learning models based on vibration signals for fault detection. [0003] However, the above-mentioned index detection methods are not highly correlated, the detection results are not accurate enough, and are easily affected by complex working conditions on site. The deep learning methods in the prior art have unsatisfactory prediction results due to multiple operating conditions and imperfect index system construction. In addition, the indicators of some detection methods do not respond strongly to fault features, resulting in unsatisfactory prediction results. Moreover, most of the research stays...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01M13/021G01M13/028G06K9/62
CPCG01M13/021G01M13/028G06F18/214
Inventor 王新梦王红星李海龙王宗文
Owner YANTAI JEREH PETROLEUM EQUIP & TECH CO LTD