Risk Assessment and Risk Warning for Current Transformer Automatic Verification System

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This paper combines methods such as decision-making theory and method, the risk early warning theory and mathematical statistics theory [1,2]. With case analysis, some risk assessment and risk early warning is studied systematically on the automatic low voltage current transformer verification system. First of all, on the basis of risk identification, a indicator evaluation system for the verification system is established. Combined with the structure of the low voltage current transformer verification system, the indicator system is built on both the overall system and various key units of the system. Then risk assessment of the system is conducted. The risk assessment includes state analysis on each indicator, setting up the indicator state probability model, setting the indicator weight; also a confidence level is analyzed. Thirdly, risk early warning is made. The risk early warning threshold is taken as the basis of the early warning, which guarantees the safety and steady operation of the system. Finally, some example verification is done upon the automatic low voltage current transformer verification system, which provides reference on risk assessment and early warning for some enterprises and institutions.

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809-814

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November 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] Guansheng Huang, Wei Lin and Lizhou Wang, etc. The general theory of risk early warning system research [J]. China standardization, 2006 (3) : 9-11.

Google Scholar

[2] Automatic verification streamline specification - 573, 574, 575.

Google Scholar

[3] Jianbin Yang. risk early warning system research on constructive projects[J]. Journal of project management technology, 2011 (4) : 71-74.

Google Scholar

[4] Xiren zhao, Dawei Li and Guobin Li, etc. The probability density function model of power system load forecast error [J]. Journal of automation, 1993, 19 (5) : 562-568.

Google Scholar

[5] Bin Chen, Ning wang. The confidence level analysis l on the information system risk assessment results [J]. Proceedings of academic exchange, 21 times the national computer security (2006).

Google Scholar

[6] GuoliangYang, Shiyue Wu, YongYi Guo, Quanqiu Chen. Critical value determination of Sihe Coal mine desorption. China's Coal, China Coal.

Google Scholar

[7] Yuan Liu, Zhenyu Wang, Guohua Liu, etc. Quantitative risk assessment method research of dam crash [J]. Journal of hydroelectric power, 2005, 31 (3) : 44-47.

Google Scholar

[8] Zhipeng Wu. The determination of college financial indicators warning threshold based on PS method [J]. Journal of education accounting research, 2008 (2) : 7-11.

Google Scholar