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http://dx.doi.org/10.7782/JKSR.2016.19.2.145

A Study on SIL Allocation for Signaling Function with Fuzzy Risk Graph  

Yang, Heekap (Department of Electric Traction and Signalling System, Graduate School of Railway, Seoul National University of Science and Technology)
Lee, Jongwoo (Department of Electric Traction and Signalling System, Graduate School of Railway, Seoul National University of Science and Technology)
Publication Information
Journal of the Korean Society for Railway / v.19, no.2, 2016 , pp. 145-158 More about this Journal
Abstract
This paper introduces a risk graph which is one method for determining the SIL as a measure of the effectiveness of signaling system. The purpose of this research is to make up for the weakness of the qualitative determination, which has input value ambiguity and a boundary problem in the SIL range. The fuzzy input valuable consists of consequence, exposure, avoidance and demand rate. The fuzzy inference produces forty eight fuzzy rule by adapting the calibrated risk graph in the IEC 61511. The Max-min composition is utilized for the fuzzy inference. The result of the fuzzy inference is the fuzzy value. Therefore, using the de-fuzzification method, the result should be converted to a crisp value that can be utilized for real projects. Ultimately, the safety requirement for hazard is identified by proposing a SIL result with a tolerable hazard rate. For the validation the results of the proposed method, the fuzzy risk graph model is compared with the safety analysis of the signaling system in CENELEC SC 9XA WG A10 report.
Keywords
Risk graph; SIL(Safety Integrity Level); Fuzzification; Fuzzy inference; Defuzzification;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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