Classification of Events in Switch Machines Using Bayes, Fuzzy Logic System and Neural Network

被引：0
|
作者：
Aguiar, Eduardo [1 ,2 ]
Nogueira, Fernando [1 ,2 ]
Amaral, Renan [1 ,2 ]
Fabri, Diego [3 ]
Rossignoli, Sergio [3 ]
Ferreira, Jose Geraldo [3 ]
Vellasco, Marley [4 ]
Tanscheit, Ricardo [4 ]
Ribeiro, Moises [1 ,2 ]
Vellasco, Pedro [5 ]
机构：
[1] Univ Fed Juiz de Fora, Ind & Mech Engn Dept, Juiz De Fora, MG, Brazil
[2] Univ Fed Juiz de Fora, Elect Engn Postgrad Program, Juiz De Fora, MG, Brazil
[3] MRS Logist SA, Juiz De Fora, MG, Brazil
[4] Pontif Catholic Univ Rio de Janeiro, Dept Elect Engn, Rio De Janeiro, RJ, Brazil
[5] Univ Estado Rio De Janeiro, Dept Civil Engn, Rio De Janeiro, RJ, Brazil
来源：
ENGINEERING APPLICATIONS OF NEURAL NETWORKS (EANN 2014) | 2014年 / 459卷
关键词：
Classification; Switch Machine; Bayes; Fuzzy Logic System; Neural Networks;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The Railroad Switch denotes a set of parts in concordance with two lines in order to allow the passage of railway vehicles from one line to another. The Switch Machines are equipments used for handling Railroad Switches. Among all possible defects that can occur in a electromechanical Switch Machine, this work emphasizes the three main ones: the defect related to lack of lubrication, the defect related to lack of adjustment and the defect related to some component of Switch Machine. In addition, this work includes the normal operation of these equipments. The proposal in question makes use of real data provided by a company of the railway sector. Observing these four events, it is proposed the use of Signal Processing and Computational Intelligence techniques to classify the mentioned events, generating benefits that will be discussed and thus providing solutions for the company to reach the top of operational excellence.
引用
收藏
页码：81 / 91
页数：11
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