Preventive maintenance decision-making optimization model for key components of train bogie based on maximum and minimum ant colony algorithms

A technology of maximum and minimum ant colonies and optimization models, applied in forecasting, computing, instrumentation, etc., to solve problems such as loss and reduction of operational efficiency

Inactive Publication Date: 2018-09-11
GUANGXI UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Condition preventive repair can avoid the occurrence of faults to a certain extent, but its maintenance according to the specified time interval cycle will cause frequent shutdowns and maintenance of trains during the operation phase, reducing operational efficiency
Post-event preventive maintenance refers to a passive maintenance mode after a failure occurs. Although over-maintenance can be avoided, if so...

Method used

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  • Preventive maintenance decision-making optimization model for key components of train bogie based on maximum and minimum ant colony algorithms
  • Preventive maintenance decision-making optimization model for key components of train bogie based on maximum and minimum ant colony algorithms
  • Preventive maintenance decision-making optimization model for key components of train bogie based on maximum and minimum ant colony algorithms

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Embodiment Construction

[0091] The present invention will be described in detail below in combination with specific embodiments.

[0092] Case Analysis

[0093] (1) Working condition parameters

[0094] In this embodiment, five key components of a train bogie, bearings, wheelsets, axle boxes, shock absorbers, and anti-rolling torsion bars, are taken as examples, and the five key components are numbered 1, 2, 3, 4, and 5 respectively. Table 1 shows the Weibull distribution parameters of the key components of the train bogie, and Table 2 shows the average maintenance cost of the same type of key components for all bogies of a single train in a subway company.

[0095] Table 1

[0096]

[0097] Table 2

[0098]

[0099] Before optimization, the component maintenance time and average maintenance cost are shown in Table 3, and the simulation optimization curve is shown in Figure 4 shown.

[0100] table 3

[0101]

[0102] (2) Optimization method

[0103] A decision-making optimization mo...

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Abstract

The invention discloses a preventive maintenance decision-making optimization model for key components of a train bogie based on maximum and minimum ant colony algorithms. The preventive maintenance decision-making optimization model for key components of the train bogie and the constraint conditions there of are built, and then the opportunity maintenance threshold and maintenance cost are obtained according to the maximum and minimum ant colony algorithms. A method employed by the model comprises the following steps: setting a node set Ci; setting relevant parameters; placing m ants on the nodes to start visit, and then counting the path length of each ant, and recording as a current best solution; updating the path information according to an information update principle until all nodesare visited; evaluating the solution of the access path of each ant according to an optimization target of a model E, and selecting a solution with the shorter path as an updating value, wherein thenumber of ants visiting the path will be gradually increased with the shorter path and stronger pheromones; finally, judging the relationship between the number of current iterations and the total number of times, and finding out an optimal solution. The model is high in calculation speed, is high on solving relation, and can effectively reduce the maintenance cost of the key parts.

Description

technical field [0001] The invention relates to a decision-making optimization model for preventive maintenance of key components of a train, in particular to a decision-making optimization model for maintenance decision-making of key components of a train bogie based on the max-min ant colony algorithm. Background technique [0002] Urban rail transit trains have become an important way of travel for people due to their convenience, comfort, safety, and high punctuality rate, and play an important role in alleviating urban traffic pressure. At the same time, in view of the problem of under-maintenance or over-maintenance in the preventive maintenance of key components of train bogies, it is of great significance to study the decision-making optimization model of preventive maintenance of key components to save operation and maintenance costs and improve train operation efficiency. [0003] At present, the maintenance of key components of urban rail transit train bogies in m...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q10/06G06Q10/00G06Q50/30
CPCG06Q10/04G06Q10/0637G06Q10/20G06Q50/30
Inventor 贺德强罗安刘旗扬蒙基伟邓建新
Owner GUANGXI UNIV
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