Assessment model of the maglev train braking system safety pre-warning and the optimization of Parameters

Based on the conventional maglev train fault diagnosis system, a maglev train in-transit monitoring and safety pre-warning platform based on industrial Ethernet is designed in this paper with the introduction of the safety pre-warning theory to the maglev train system. A comprehensive evaluation mod...

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Bibliographic Details
Published in2016 Chinese Control and Decision Conference (CCDC) pp. 4915 - 4920
Main Authors Shengjie, Hou, Fengshan, Dou, Yungang, Li, Zhiqiang, Long
Format Conference Proceeding Journal Article
LanguageEnglish
Published IEEE 01.05.2016
Subjects
Braking
Braking System
Control systems
Fault diagnosis
Fuzzy
Fuzzy Comprehensive Evaluation
Maglev Train
Magnetic levitation vehicles
Maintenance engineering
Mathematical models
Monitoring
Parameter identification
Parameters
Rails
Safety
Safety Pre-warning
Vehicles
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Summary:Based on the conventional maglev train fault diagnosis system, a maglev train in-transit monitoring and safety pre-warning platform based on industrial Ethernet is designed in this paper with the introduction of the safety pre-warning theory to the maglev train system. A comprehensive evaluation model for maglev train braking system safety pre-warning is built in the fuzzy comprehensive evaluation method. Evaluation accuracy is improved and self-tuning of model parameters is realized by adopting the genetic algorithm to resolve the problem that parameters of evaluation weight matrix and membership matrix in the fuzzy comprehensive evaluation method are difficult to identify.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
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SourceType-Conference Papers & Proceedings-2
ISSN:1948-9447
DOI:10.1109/CCDC.2016.7531873