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Secondary gear box fault intelligent diagnosis method based on feature vector baseline method

A eigenvector and intelligent diagnosis technology, which is applied in the direction of measuring devices, testing of mechanical components, testing of machine/structural components, etc., can solve problems such as inability to accurately diagnose gearbox faults, and achieve the effect of improving accuracy

Inactive Publication Date: 2020-07-31
郑州恩普特科技股份有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to provide a secondary gearbox fault intelligent diagnosis method based on the eigenvector baseline method to solve the problem that the gearbox fault cannot be accurately diagnosed at present

Method used

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  • Secondary gear box fault intelligent diagnosis method based on feature vector baseline method
  • Secondary gear box fault intelligent diagnosis method based on feature vector baseline method
  • Secondary gear box fault intelligent diagnosis method based on feature vector baseline method

Examples

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example 1

[0066] Example 1: Gear Fault Diagnosis Rules

[0067] if (real-time amplitude of 1 times meshing frequency of high-speed shaft gear - baseline amplitude of 1 times meshing frequency of high-speed shaft gear) / baseline amplitude of 1 times meshing frequency of high-speed shaft gear = 45%;

[0068] or (real-time amplitude of 2 times meshing frequency of high-speed shaft gear - baseline amplitude of 2 times meshing frequency of high-speed shaft gear) / baseline amplitude of 2 times meshing frequency of high-speed shaft gear = 55%;

[0069] or (real-time amplitude of 3 times meshing frequency of high-speed shaft gear - baseline amplitude of 3 times meshing frequency of high-speed shaft gear) / baseline amplitude of 3 times meshing frequency of high-speed shaft gear = 65%;

[0070] then print out "High-speed shaft gear failure, failure degree: serious"

[0071] Table 1 and the above examples only give an implementation mode. The division of the percentage range and the specific d...

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Abstract

The invention relates to a secondary gear box fault intelligent diagnosis method based on a feature vector baseline method, which belongs to the technical field of gear box fault diagnosis. A baselinefeature symptom library is established by obtaining the vibration data of the normal working condition of each set measuring point of the gearbox; the baseline feature symptom library comprises meshing signals extracted from normal working condition vibration data; component analysis is carried out on vibration data collected in real time; a gear meshing signal is extracted to serve as a real-time feature, the real-time feature is compared with feature data in the baseline feature symptom library, and when the real-time feature value of a certain feature exceeds the set proportion of the corresponding baseline feature value, a gear corresponding to the feature is regarded to break down, so that fault diagnosis of the gearbox is achieved. According to the method, the real-time vibration data is compared with the normal working condition by taking the data of the normal working condition as the reference, so that the fault diagnosis accuracy of the gearbox is improved.

Description

technical field [0001] The invention relates to an intelligent fault diagnosis method of a secondary gearbox based on an eigenvector baseline method, and belongs to the technical field of fault diagnosis of gearboxes. Background technique [0002] Gearbox is the most common transmission mechanism in industrial applications, and the gear is one of the most prone to failure parts in the gearbox. It has important economic and safety significance for the accurate fault diagnosis of the gear in the gearbox. In the actual engineering application of gearbox faults, due to the limitations of personnel technical experience and professional knowledge, it is often impossible to realize rapid and clustered gearbox fault diagnosis. With the popularization and application of network technology and artificial intelligence, the intelligent diagnosis method of gearbox based on Web technology can effectively solve the above problems. At present, there are two main methods for intelligent dia...

Claims

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Application Information

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IPC IPC(8): G01M13/045G06K9/00
CPCG01M13/045G06F2218/08G06F2218/12
Inventor 王宏超韩思蒙陈磊雷文平胡鑫李永耀李凌均韩捷
Owner 郑州恩普特科技股份有限公司
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