Paper Info
Title
Classification of Events in Switch Machines Using Bayes, Fuzzy Logic System and Neural Network.
Abstract
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.
Year
DOI
Venue
2014
10.1007/978-3-319-11071-4_8
Communications in Computer and Information Science
Keywords
Field
DocType
Classification,Switch Machine,Bayes,Fuzzy Logic System,Neural Networks
Signal processing,Neuro-fuzzy,Operational excellence,Computational intelligence,Railroad switch,Fuzzy classification,Computer science,Control engineering,Artificial intelligence,Adaptive neuro fuzzy inference system,Artificial neural network
Conference
Volume
ISSN
Citations 
459
1865-0929
1
PageRank 
References 
Authors
0.36
5
10
Name
Order
Citations
PageRank
eduardo aguiar172.19
fernando nogueira241.11
renan amaral351.12
diego f fabri430.74
Sérgio Rossignoli510.36
jose geraldo ferreira630.74
Marley R. R. Vellasco710.36
Ricardo Tanscheit810.36
Moisés Ribeiro910.36
Pedro Vellasco1010.36