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Train wheel set bearing fault transient characteristic detection method based on parametric Doppler transient model

A Doppler transient and feature detection technology, used in mechanical bearing testing, railway vehicle testing, mechanical component testing, etc., can solve problems such as signal frequency shift, amplitude modulation, and inability to solve effectively

Active Publication Date: 2016-03-23
SUZHOU UNIV
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  • Abstract
  • Description
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  • Application Information

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Problems solved by technology

However, due to the existence of the Doppler effect, there will be frequency shift, frequency band expansion and amplitude modulation in the signal of the moving bearing
All in all, none of the above methods can effectively solve the problem

Method used

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  • Train wheel set bearing fault transient characteristic detection method based on parametric Doppler transient model
  • Train wheel set bearing fault transient characteristic detection method based on parametric Doppler transient model
  • Train wheel set bearing fault transient characteristic detection method based on parametric Doppler transient model

Examples

Experimental program
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Effect test

Embodiment

[0064] Example: Fault detection of the outer ring of the sports bearing

[0065] When a fault occurs on the outer ring of a train bearing in motion, the detection signal will be modulated due to the influence of the Doppler effect, and the transient characteristics of the train wheel set bearing fault based on the parametric Doppler transient model described in the present invention can be used Detection method.

[0066] The experimental object of experiment 1 is mainly the faulty bearing, and the test bench is mainly composed of the engine and the faulty bearing used for testing. Loading device, sensors and other components. In addition, an advanced data acquisition system (DAS) provided by National Instruments (NI) was used to complete data acquisition. Refer to Table 1 for the working parameters of the bearing, and Table 2 for the rest of the experimental parameters. Test fault bearing NJ (P) 3226XI bearing, bearing outer ring surface has a 0.18mm wide penetrating crack ...

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PUM

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Abstract

The invention discloses a train wheel set bearing fault transient characteristic detection method based on a parametric Doppler transient model. The method comprises the following steps: building a parametric cycle model based on a unilateral Laplace wavelet; building a parametric Doppler transient model according to the Doppler effect; performing correlation matching between the parametric Doppler transient model and a train bearing fault detection signal, and calculating the correlation coefficient; optimizing the cycle parameter T, damping coefficient zeta and discrete frequency f by taking the correlation coefficient between the built parametric Doppler transient model and a real train bearing fault signal as a quantitative means, and building an optimal periodic transient model and a Doppler transient model thereof; and finally, judging the fault type based on the model optimal parameters and bearing motion parameters. By using the method, a train bearing signal under the influence of the Doppler effect can be processed, and the fault of the bearing can be diagnosed accurately.

Description

technical field [0001] The invention relates to the field of signal analysis and detection, in particular to a method for detecting fault transient characteristics of train wheel set bearing faults based on a parameterized Doppler transient model. Background technique [0002] Due to the rapid development of social economy, the demand for transportation technology is also continuously strengthened. As a main means of transportation, trains have strong transportation capacity and high speed, and play a great role in today's society. However, a sudden failure may cause serious accidents in the train transportation system, and the bearings support all the weight of the high-speed moving train. Their failure is the main cause of accidents in railway vehicles. And the key technology for automatic diagnosis of bearing faults. [0003] The detection of bearing fault signals involves the processing of signals in motion, which is very difficult and is a major difficulty in the fiel...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01M17/10G01M13/04
CPCG01M13/045G01M17/10
Inventor 沈长青帅俊黄凤蔡改改
Owner SUZHOU UNIV
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