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An early fault diagnosis method for MED rolling bearings based on self-adaptation

A rolling bearing, early failure technology, applied in genetic models, genetic laws, pattern recognition in signals, etc., can solve problems such as inability to automatically select, and achieve the effects of enhancing periodic shock characteristics, accurate diagnosis, and suppressing non-shock components

Inactive Publication Date: 2018-12-28
BEIJING UNIV OF TECH
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Problems solved by technology

[0004] Aiming at the problem that the MED noise reduction effect cannot be automatically selected due to the filter length L, an early fault diagnosis method for MED rolling bearings based on self-adaptation is proposed.

Method used

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  • An early fault diagnosis method for MED rolling bearings based on self-adaptation
  • An early fault diagnosis method for MED rolling bearings based on self-adaptation
  • An early fault diagnosis method for MED rolling bearings based on self-adaptation

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Embodiment Construction

[0034] The present invention will be further described below in conjunction with the accompanying drawings and examples.

[0035] like figure 1 As shown, it is a work flow chart of an adaptive MED rolling bearing early fault diagnosis method of the present invention. The specific implementation process is as follows:

[0036] (1) Input the measured signal and set the parameters of the genetic algorithm;

[0037] Set the range of the filter length parameter L (1:60), the step size is 1; the population size P=100, using binary code, the length is 10, the crossover probability Pc=0.6, the mutation probability Pm=0.001, the maximum evolution algebra G =100. The genetic algorithm is used to optimize the influencing parameters of MED, and the key factors involved include:

[0038] 1) Initialization: set the genetic algorithm population size P, termination evolution algebra G, crossover probability Pc and mutation rate Pc.

[0039] 2) Encoding: perform binary encoding on the par...

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Abstract

A method for early fault diagnosis of roll bearing base on adaptive MED is disclosed, which is a method for early fault diagnosis of a bearing outer ring. Aiming at the problem that the MED noise reduction effect is affected by the filter order L, the invention studies the fault mechanism of the bearing, and proposes an adaptive MED noise reduction method using the genetic algorithm and the Teagerenergy operator envelope spectrum entropy (TESE) as an objective function. Firstly, TESE index is proposed to measure the effect of noise reduction. Then the optimal parameters of MED algorithm are optimized by using TESE as the objective function, and the weak fault features are extracted by demodulation spectrum. The method can enhance the shock component of early weak fault adaptively and extract the characteristic frequency information of early fault effectively.

Description

technical field [0001] The invention belongs to the technical field of fault diagnosis, and relates to an early single-point fault diagnosis method for an outer ring of a bearing, in particular to an early fault diagnosis method for a rolling bearing based on an adaptive MED. Background technique [0002] Rolling bearings are one of the most commonly used parts in mechanical equipment, and their operating status directly affects the performance of the entire machine. When the bearing is partially damaged or defective, it will cause noise and abnormal vibration of the equipment in the slightest, and damage the equipment in severe cases. In practical engineering applications, early fault diagnosis of rolling bearings is relatively difficult due to the influence of many factors such as complex and changeable vibration transmission paths, serious noise interference in the working environment, and mutual coupling of excitation and response of multiple vibration sources. [0003]...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06N3/12
CPCG06N3/126G06F2218/04G06F2218/08
Inventor 崔玲丽杜建喜乔文生王华庆
Owner BEIJING UNIV OF TECH
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