Method for predicting rate of wheel load reduction

A technology of wheel load shedding rate and prediction method, which is applied in special data processing applications, instruments, biological neural network models, etc., and can solve problems such as high cost and low prediction accuracy

Active Publication Date: 2012-07-11
BEIJING JIAOTONG UNIV
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Problems solved by technology

[0008] Aiming at the disadvantages of high cost and low prediction accuracy in the existing wheel weight unloading rate prediction method mentioned in the above background technology, the present invention proposes a prediction method of wheel load unloading rate

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  • Method for predicting rate of wheel load reduction
  • Method for predicting rate of wheel load reduction
  • Method for predicting rate of wheel load reduction

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Embodiment Construction

[0073] The preferred embodiments will be described in detail below in conjunction with the accompanying drawings. It should be emphasized that the following description is only exemplary and not intended to limit the scope of the invention and its application.

[0074] The purpose of the present invention is to realize accurate modeling from track irregularity to wheel weight unloading rate, use track irregularity to predict wheel load unloading rate, and improve the prediction accuracy of wheel load unloading rate. Using the NARX neural network based on algorithm improvement and structure improvement can realize the accurate prediction of wheel load reduction rate.

[0075] The present invention is to the forecasting method of wheel weight unloading rate:

[0076] (1) Collect input data

[0077] The measured track irregularity data, including left track height irregularity data, left track direction irregularity data, right track height irregularity data and right track dir...

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Abstract

The invention discloses a method for predicting rate of wheel load reduction in the technical field of railroad safety. The method comprises the following steps: first, collecting left track longitudinal irregularity, left track direction irregularity, right track longitudinal irregularity and right track direction irregularity data by adopting a track inspection car; then, simulating the data by using professional software ADAMS (automatic dynamic analysis of mechanical systems) / RAIL to obtain rail-wheel load data, namely vertical rail-wheel load and horizontal rail-wheel load, thereby obtaining and normalizing the rate of wheel load reduction; selecting a training sample to train a NARX (nonlinear auto-regression with exogenous input) neural network model; testing the trained NARX neural network prediction model and outputting the rate of wheel load reduction data after the test; and analyzing the rate of wheel load reduction data in the training sample and the rate of wheel load reduction data obtained from the neural network after the test and valuing performance of the NARX neural network prediction model. By using the method, derailment coefficient is precisely predicted and accuracy of railway operation safety evaluation is improved. Therefore, the method has important realistic meanings to railway traffic safety control.

Description

technical field [0001] The invention belongs to the technical field of railway safety, in particular to a method for predicting wheel load reduction rate. Background technique [0002] With the development of railway transportation towards high speed, heavy load, large volume and high density, ensuring the safe and stable operation of trains has become an important task at present. The wheel load reduction rate is one of the main indicators of vehicle dynamics, which is used to assess the safety of the suspension derailment caused by the wheel load reduction. Therefore, the prediction of load shedding rate is of great significance to the safety of railway traffic. [0003] my country's national standard GB5599-85 stipulates that the wheel load reduction rate is used to limit the load reduction of the wheel. The wheel load reduction rate is defined as the ratio of the wheel load reduction of the wheel on the load reduction side to the average static wheel weight of the wheel...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50G06N3/02
Inventor 秦勇贾利民张媛陈皓张道于朱跃邢宗义
Owner BEIJING JIAOTONG UNIV
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