원문정보
초록
영어
In order to solve the problems of subsection vacuum switch repair deficiency and blind repair and to improve the accuracy of the subsection vacuum switch condition assessment we put forward a strategy based on the theory of fuzzy evaluation. Firstly, a layered evaluation index system on the base of preventive experiments, including working surroundings, operation history, maintenance records, and accessories section and so on is built. Then, the relative impairment degree is introduced to describe the relative grade of subsection vacuum switch changing from actual conditions to faults. The member functions for qualitative indices and the quantitative indices are respectively determined with helps of a fuzzy statistic method and a fuzzy distribution method. An operation condition evaluation model evaluates the state of every grade and gives a comprehensive assessment of subsection vacuum switch, is established on the base of the fuzzy synthetic judgment. Example analysis shows t the method for the safe operation of the transformer condition assessment of reliability is higher and more accurate.
목차
1. Introduction
2. Selection of Evaluation Factors
3. Establishment of Fuzzy Comprehensive Evaluation Model
3.1. Establish Factor Set of Evaluation Objects
3.2. Establish Evaluation Set
3.3. Establish Every Level Fuzzy Evaluation Matrix
3.4. Determine the Weights of Evaluation Factors at Different Levels
3.5. Fuzzy Operator and Evaluation Indicators Processing
4. Determination of Membership Function and Membership Degree for Index Layer
4.1. Relative Deterioration Degree
4.2. Determine the Membership Function of Quantitative Indicators
4.3. Determine the Membership Degree of Qualitative Indexes
5. The Example Analysis
5.1. The Evaluation of Breaking Wear
5.2. Vacuum Degree Evaluation
5.3. Mechanical Properties Evaluation
5.4. Other Factors Evaluation
5.5. Comprehensive Evaluation
6. Conclusion
References