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A rolling bearing compound fault extraction method and system

A composite fault and rolling bearing technology, which is applied in the testing of machine/structural components, testing of mechanical components, instruments, etc., can solve problems such as misjudgment and missed judgment, incomplete evaluation of mechanical equipment operation, and incomplete extraction of fault components, etc. To achieve the effect of avoiding missed diagnosis and misdiagnosis

Active Publication Date: 2020-05-01
HEBEI CONSTR GROUP ZHUOCHENG ROAD & BRIDGE ENG +2
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] When traditional spectrum analysis, envelope analysis, wavelet analysis, and morphological filtering are used to deal with complex faults, fault components may not be extracted thoroughly, resulting in misjudgments and missed judgments, and the evaluation of mechanical equipment operation is not complete.

Method used

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  • A rolling bearing compound fault extraction method and system
  • A rolling bearing compound fault extraction method and system
  • A rolling bearing compound fault extraction method and system

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Embodiment 1

[0038] A rolling bearing compound fault extraction system, comprising a vibration signal acquisition device (1), a vibration signal decomposition device (2), a vibration signal analysis device (3), a filtering device (4), a fault output device (5); a vibration signal acquisition device (1) is a vibration acceleration sensor, which is used to obtain the vibration signal of the bearing composite fault and transmit it to the vibration signal decomposition device (2) and the vibration signal analysis device (3). Partial mode decomposition is used to increase the dimension and reduce noise, and decompose it into K IMF components. The vibration signal analysis device (3) is used to analyze the vibration signal through the fast spectral kurtosis diagram to obtain J resonance frequency bands, where J is less than or equal to K; the filtering device (4) is used to filter the IMF component output by the vibration signal decomposition device (2), and the fault output device (5) is used to...

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Abstract

The invention discloses a rolling bearing compound fault extraction method and a rolling bearing compound fault extraction system. The rolling bearing compound fault extraction method comprises the steps of adopting an acceleration sensor to obtain a bearing fault vibration signal firstly, taking variation mode decomposition as a processing method for dimension raising and denoising of the vibration signal to obtain K IMFs, taking a resonance frequency band of a fast spectral kurtosis graph as a screening criterion of effective IMF (SIMFi), performing fast spectral kurtosis frequency spectrum filtering on the SIMFi, and diagnosing fault types contained in the original signal through comparing an envelope spectrum with a bearing fault theoretical calculation result. The rolling bearing compound fault extraction method and the rolling bearing compound fault extraction system can accurately and effectively diagnose the compound fault combination form, avoid missed diagnosis and misdiagnosis, and have significant value in precisely evaluating operation conditions of mechanical equipment.

Description

technical field [0001] The invention relates to a rolling bearing fault impact feature extraction method, in particular to a rolling bearing fault feature extraction method and system based on variational mode decomposition and fast spectral kurtosis graph. Background technique [0002] Rolling bearings are one of the most widely used components in road construction machinery and equipment. Their operating conditions affect the working status of the entire system. Fault identification and diagnosis of rolling bearings are of great significance to ensure the safe and reliable operation of mechanical equipment. [0003] Under actual working conditions, the faults of rolling bearings usually appear as composite faults, and are affected by the operating environment. Often, composite faults interact with composite noise sources. Only by accurately extracting the components of bearing composite faults from strong background noise can the mechanical operating conditions be analyzed ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01M13/045
CPCG01M13/045
Inventor 崔海龙孙永杰杨杰李健李自夺李建文陈二永李素格魏牧林张雄万书亭
Owner HEBEI CONSTR GROUP ZHUOCHENG ROAD & BRIDGE ENG
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