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Record link: 
http://hdl.handle.net/20.500.12708/151803
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Title: 
Basic Concepts in the Diagnosis of Traffic Safety Installations Using Fuzzy Logic Based Models
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Citation: 
Spunei, E., Piroi, I., & Piroi, F. (2015). Basic Concepts in the Diagnosis of Traffic Safety Installations Using Fuzzy Logic Based Models. Analele Universitatii "Eftimie Murgu" Resita, Fascicula de Inginerie, 2(2), 327–335. http://hdl.handle.net/20.500.12708/151803
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Publication Type: 
Article - Original Research Article
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Authors: 
Spunei, Elisabeta 
Piroi, Ion 
Piroi, Florina 
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Organisational Unit: 
E194-01 - Forschungsbereich Software Engineering 
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Journal: 
Analele Universitatii "Eftimie Murgu" Resita, Fascicula de Inginerie 
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ISSN: 
1453-7397
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Date (published): 
2015
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Number of Pages: 
9
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Peer reviewed: 
Yes
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Keywords: 
fuzzy logic; CTC; Model Based Diagnostics; logic relations
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Abstract: 
The diagnosis of failures in train traffic installations can be done in several ways: direct observations and measurements, software assisted diagnosis using specific software packages, process variable monitoring for electronically centralized installations. This work presents basic concepts for Model Based Diagnosis (MBD) that uses fuzzy logic to analyse the integrity of Centralized Traffic Control Installations (CTC) in train traffic. We define the diagnosis relations to be used and show how to apply them to train traffic security installations. Implementing these concepts into an expert system assists maintenance operators in quick failure diagnosis of the train traffic security installations.
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Research Areas: 
Modelling and Simulation: 30%
Mathematical and Algorithmic Foundations: 70%
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Science Branch: 
Mathematik
Informatik
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