Risk Assessment of ZPW-2000A Track Circuit Based on Fuzzy Grey Theory
[1]LI Dewei,ZAI Xiangwei,ZHANG Sheng,et al.Risk Assessment of ZPW-2000A Track Circuit Based on Fuzzy Grey Theory[J].Journal of Zhengzhou University (Engineering Science),2020,41(06):73-78.[doi:10.13705/j.issn.1671-6833.2020.06.014]
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Journal of Zhengzhou University (Engineering Science)[ISSN
1671-6833/CN
41-1339/T] Volume:
41卷
Number of periods:
2020 06
Page number:
73-78
Column:
Public date:
2020-12-31
- Title:
- Risk Assessment of ZPW-2000A Track Circuit Based on Fuzzy Grey Theory
- CLC:
- -
- DOI:
- 10.13705/j.issn.1671-6833.2020.06.014
- Abstract:
- Considering the lack of data, poor information and low precision in the risk analysis of traditional railway signal equipment, The fuzzy number theory was introduced in this paper based on the failure mode effects and criticality analysis (FMECA), introduction. The application of grey correlation degree method, and the variable weight comprehensive method proposes were integrated into this risk assessment method based on the fuzzy gray theory. This method combined fuzzy theory and gray theory, could effectively reduce the dependence on a large amount of equipment failure data. Compared with the traditional risk priority index (RPN), the risk with the same RPN value could be identified by introducing the variable weight principle. Taking the ZPW-2000A track circuit as an example, the failure modes of its important equipment and the corresponding risk levels were analyzed, and the gray ranking was performed. The results showed that the risk priority index (RPN) level obtained by the risk assessment method based on fuzzy gray theory was more refined than that obtained by the traditional method (RPN). This method could well identify its two major signal failure escalation modes. The traditional method could only identify one of them. Therefore, the method proposed was more effective for risk identification.
- References:
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Last Update:
2021-02-10