Bearing fault diagnosis method based on domain adaptation

A fault diagnosis, domain-adaptive technology, used in mechanical bearing testing, mechanical component testing, machine/structural component testing, etc.

Active Publication Date: 2016-05-25
UNIV OF JINAN
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] The purpose of the present invention is to propose a domain-adaptive-based bearing fault diagnosis method for the deficiencies of existing bearing diagnosis methods

Method used

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  • Bearing fault diagnosis method based on domain adaptation
  • Bearing fault diagnosis method based on domain adaptation
  • Bearing fault diagnosis method based on domain adaptation

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Experimental program
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Effect test

Embodiment

[0038] In order to illustrate the specific implementation steps and beneficial effects of the present invention, this embodiment takes authoritative bearing vibration data from Case Western Reserve University as a specific embodiment. Bearing vibration data is collected on a specially designed bearing vibration test bench, such as figure 2 shown. On the left side of the test bench is a 2hp electric motor 1, in the middle is a torque transmitter 4 for torque measurement, and on the right side is connected a dynamometer 5 as a load. The bearing diagnosed in this embodiment is the rotary support bearing 2 of the motor at the driving end of the engine, the model is 6205-2RSJEMSKF, and a vibration sensor 3 is arranged above the bearing. In this experiment, four load conditions of 0hp, 1hp, 2hp, and 3hp were designed to simulate different working conditions of the bearing, and 0.007in, 0.014in, 0.014in, 0.014in, 0.021in, 0.028in four different degrees of damage to simulate differ...

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Abstract

The invention relates to a bearing fault diagnosis method based on domain adaptation. The method comprises the following steps: respectively performing feature extraction on label historical vibration data and object vibration data, based on distance indexes, selecting sensitive feature sets, Grassman manifolds are constructed through principle component analysis, geodesic flows are constructed based on this, by taking the sensitive feature set of vibration of the label historical vibration data as a source domain and the sensitive feature set of the object vibration data as an object domain, the two domains are projected on the geodesic flows for the domain adaptation, and based on distance measurement of projection, bearing state identification of the object vibration data is realized. A result obtained by applying the method to a bearing fault diagnosis indicates that the method can effectively overcome vibration data deviations caused by such factors as working conditions, bearing individual differences and the like and displays a quite high engineering application value.

Description

technical field [0001] The invention belongs to the field of fault diagnosis of mechanical equipment, in particular to a method for fault diagnosis of bearings based on domain self-adaptation. Background technique [0002] Bearing is a basic component in rotating machinery, which plays an irreplaceable role in supporting the rotating body of the machine, reducing the friction coefficient and ensuring the rotation accuracy. However, affected by factors such as manufacturing accuracy, material properties, lubrication conditions, and load fluctuations, the actual bearing life varies, and even sudden bearing fracture damage may occur, causing production accidents. At the same time, some large-diameter, high-precision special bearings are expensive, and it is necessary to pay attention to their working status at all times. Therefore, the implementation of state monitoring of bearings, timely and accurate diagnosis of abnormal state of bearings, and implementation of targeted equ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01M13/04
CPCG01M13/045
Inventor 刘海宁宋方臻刘成良孙选门秀花
Owner UNIV OF JINAN
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