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  • 标题:Study on Risk Identification and Prevention of Power Transformer Based on Sampling Inspection Theory
  • 本地全文:下载
  • 作者:TianShu Bi ; JinMeng Chen ; Meng Sun
  • 期刊名称:International Journal of Security and Its Applications
  • 印刷版ISSN:1738-9976
  • 出版年度:2014
  • 卷号:8
  • 期号:3
  • 页码:277-288
  • DOI:10.14257/ijsia.2014.8.3.29
  • 出版社:SERSC
  • 摘要:Power transformer is one of the key equipment for power grid, and its quality has important effects to the security, stability and economic operation of the power grid. The government sampling inspection pass rate of 10kV power transformer is less than 80% in China, which causes serious impact to the product quality and brings serious security risks. It has great significance to study on the risk identification and prevention method. In this paper, the sampling inspection theoretical analysis of power transformer is carried out with the mathematical statistics and probability theory. Its application in the quality risk identification is studied on. The risk prevention effect of the sampling inspection is studied based on game theory. It is used both on the large scale power transformer and distribution transformer. The sampling inspection has the characteristics such as flexibility, randomness, science, and economics. It can be used in large range with flexible way, especially for the difficult test items. Random is the foundation for the scientific sampling inspection. The approach determines that it can reflect the population quality level with small cost, which has obvious economic benefits. In practice, sampling inspection should focus on the key aspects, including the design of sampling inspection plan, the selection of the sampling mode, the cost and the corresponding punishment.
  • 关键词:power transformer; sampling inspection; risk identification; risk prevention
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