Earticle

초록

영어

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.

목차

Abstract
 1. Introduction
 2. Analysis of Power Transformer Quality State
  2.1. Temperature Rise
  2.2. No-load Loss and Load Loss
 3. Quality Sampling Inspection Theory for Power Transformer
  3.1. Sample Error and Sample Size
  3.2. Operating Characteristic Curve
  3.3. The Principle of the Sampling by Variables
  3.4. The Supervision Sampling Inspection Theory
  3.5. Quality Risk Identification of the Power Transformer
 4. The Quality Risk Prevention Method of Power Transformer
  4.1. The Quality Risk Prevention Analysis
  4.2. Adjustment of the Sampling Inspection Parameters
 5. Examples
  5.1. Large-scale Power Transformer Sampling Inspection
  5.2. Distribution Power Transformer Sampling Inspection
 6. Conclusions
 References

키워드

저자

• TianShu Bi [ North China Electric Power University ]
• JinMeng Chen [ North China Electric Power University, State Grid Materials, Company Limited ]
• Meng Sun [ State Grid Materials Company Limited ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Security and Its Applications

• 간기

  격월간

• pISSN

  1738-9976

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605