Incident data preprocessing in railway control systems using a rough-set-based approach

Incident data preprocessing in railway control systems using a rough-set-based approach

The paper proposes a novel approach to data preprocessing about incidents in railway control systems. Various classes of railway control systems and requirements to their functioning are described. The possible solution concern forming incident data based on diagnosis information is proposed. The ma...

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Bibliographic Details
Published in:2017 XX IEEE International Conference on Soft Computing and Measurements (SCM) pp. 248 - 251
Main Authors: Chernov, Andrey V., Kartashov, Oleg O., Butakova, Maria A., Karpenko, Ekaterina V.
Format: Conference Proceeding
Language:English
Published: IEEE 01-05-2017
Subjects:
Control systems
Data preprocessing
incident identification
Rail transportation
Rails
railway industry
Rats
rough set
Rough sets
Safety
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Summary:The paper proposes a novel approach to data preprocessing about incidents in railway control systems. Various classes of railway control systems and requirements to their functioning are described. The possible solution concern forming incident data based on diagnosis information is proposed. The main approach is related to rough sets theory, therefore, the basic ideas and mathematical notations in the rough sets area are presented. As the main result, the incident data preprocessing method based on rough sets membership function is developed. The pseudocode of algorithm and numerical examples also are provided.
DOI:10.1109/SCM.2017.7970551