Train suspension system failure isolation method based on LDA method

A suspension system and linear discriminant technology, which is applied in railway vehicle testing and other directions, can solve problems such as difficulty in obtaining the mathematical model of the train suspension system, modeling errors in fault diagnosis methods, and large calculation burdens, and achieves a simple structure that is not easily disturbed by external factors , The effect of high device reliability

Inactive Publication Date: 2013-12-25
BEIJING JIAOTONG UNIV
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Problems solved by technology

[0002] The dynamic characteristics of the train suspension system have coupling effects in the vertical and lateral directions, coupled with the nonlinearity of the suspension components of the train, the flexible structure of the car body and many othe

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  • Train suspension system failure isolation method based on LDA method
  • Train suspension system failure isolation method based on LDA method
  • Train suspension system failure isolation method based on LDA method

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Embodiment Construction

[0031] 1. The layout of the sensor

[0032] The structure of the train suspension system includes the primary and secondary suspension systems, where the primary and secondary springs and dampers are mainly diagnosed. Twelve acceleration sensors are installed in each carriage, which are respectively installed on the four corners of the car body and two bogies, and twelve acceleration values ​​are output at each moment, and the collected data is transmitted to the on-board fault diagnosis system by the acquisition system Perform diagnostic processing. The sensor layout scheme for a single car is as follows: figure 1 shown.

[0033] Among them, X-Y-Z three-way acceleration sensors are installed at the four corners of the bottom surface of each car body to detect vibration signals at the four corners of the bottom of the car body; Y-Z two-way acceleration sensors are installed on the outer sides of each bogie frame for To detect the vibration signals of the four corners of the...

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Abstract

The invention relates to a train suspension system failure isolation method based on an LDA method. The train suspension system failure isolation method is based on data feature extraction of the Fisher discriminatory analysis method and the application of the Fisher discriminatory analysis method in a train suspension system failure diagnosis. Diagnosis discrimination functions are obtained by collecting and training simulated normal data and all types of failure data so that new test data can be discriminated and diagnosed. According to the train suspension system failure isolation method based on the LDA method, a precise mathematical model is not required, and any requirement for overall distributed situations is not made; a large number of characteristic variables are reduced to several linear combinations, so that smaller dimensionalities are formed for convenient expression; meanwhile, a test unit is simple in structure and not prone to being interfered by external factors, and therefore the reliability of a device is high.

Description

technical field [0001] This patent belongs to the technical field of railway transportation, and in particular relates to a fault separation method for a train suspension system based on a linear discriminant method. Background technique [0002] The dynamic characteristics of the train suspension system have coupling effects in the vertical and lateral directions, coupled with the nonlinearity of the suspension components of the train, the flexible structure of the car body and many other factors, it is difficult to obtain an accurate mathematical model of the train suspension system. Model. Therefore, there are many limiting factors in the model-based fault diagnosis method, such as modeling error, complicated process, and large computational burden. Data-driven fault diagnosis methods have received extensive attention and research in recent years, and have made great progress. The fault diagnosis method based on Fisher's discriminant analysis method is one of the very i...

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Application Information

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IPC IPC(8): G01M17/10
Inventor 贾利民魏秀琨郭昆吴胜秦勇柳海汪煜婷郭淑萍林帅程茗刘峰魏强
Owner BEIJING JIAOTONG UNIV
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