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Dynamic axle temperature prediction method for high-speed train based on multiple regression model

A multiple regression model, high-speed train technology, applied in special data processing applications, instruments, electrical digital data processing, etc.

Active Publication Date: 2016-12-07
XIAN UNIV OF TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to provide a high-speed train dynamic axle temperature prediction method based on a multiple regression model, which solves the problem in the prior art that the axle temperature prediction can be realized based on the axle temperature change mechanism

Method used

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  • Dynamic axle temperature prediction method for high-speed train based on multiple regression model
  • Dynamic axle temperature prediction method for high-speed train based on multiple regression model
  • Dynamic axle temperature prediction method for high-speed train based on multiple regression model

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Embodiment Construction

[0063] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0064] A method for predicting dynamic axle temperature of high-speed trains based on multiple regression model in the present invention, the specific process is as follows figure 1 As shown, the specific steps are as follows:

[0065] Step 1, classifying the raw data of the train;

[0066] Step 2: Perform partition processing on the data classified in step 1;

[0067] Step 3: Establish a flow model for axial temperature analysis on the partitioned data obtained in step 2;

[0068] Step 4: Check the flow model obtained in Step 3.

[0069] Among them, step 1 is specifically implemented according to the following steps:

[0070] Step (1.1), collect the original axle temperature data of the train and put it into the set "Num.1". The original axle temperature data of the train includes: train speed v, axle temperature T, initial axle temperat...

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Abstract

The invention discloses a dynamic axle temperature prediction method for a high-speed train based on a multiple regression model. The dynamic axle temperature prediction method is specifically implemented according to the following steps: step 1, classifying original data of the train; step 2, distinguishing the classified data in step 1; step 3, establishing an axle temperature analysis flow model for the distinguished data obtained in step 2; and step 4, checking the flow model obtained in step 3. According to the dynamic axle temperature prediction method disclosed by the invention, the problem that an axle temperature can be predicted based on an axle temperature change mechanism in the prior art is solved.

Description

technical field [0001] The invention belongs to the technical field of high-speed train data prediction, and in particular relates to a high-speed train dynamic axle temperature prediction method based on a multiple regression model. Background technique [0002] In recent years, with the improvement of the four vertical and four horizontal railway lines, the train has become the first choice for most people to travel, and the high-speed rail is more favored by travelers because of its advantages of convenience, speed, safety and punctuality. By the end of 2015, my country's high-speed rail operating mileage reached 19,000 kilometers, ranking first in the world, accounting for more than 60% of the world's total high-speed rail mileage. With the rapid development of high-speed trains in my country and the continuous increase in operating mileage, the safety of high-speed trains has attracted much attention, and the safety of axles is particularly important. During the runnin...

Claims

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Application Information

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IPC IPC(8): G06F17/50
CPCG06F2119/08G06F30/367
Inventor 谢国王竹欣叶闽英陶大羽黑新宏钱富才鲁晓锋
Owner XIAN UNIV OF TECH
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