Power Transformer Failure Analysis using Interval Type-2 Fuzzy Set Theory Based Fault Tree Analysis

被引：0
|
作者：
Mitra, Rituparna [1 ]
Reddy, Galiveeti Hemakumar [1 ]
Goswami, Arup Kumar [1 ]
Choudhury, Nalin B. Dev [1 ]
机构：
[1] Natl Inst Technol Silchar, Dept Elect Engn, Silchar 788010, Assam, India
来源：
2016 IEEE 7TH POWER INDIA INTERNATIONAL CONFERENCE (PIICON) | 2016年
关键词：
Interval Type 2 Fuzzy system; Type 1 fuzzy system; Fault tree analysis; Fuzzy arithmatic; Fuzzy operations; Sampling method;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Reliable power supply depends on proper equipment functioning. Power transformer keeps up voltage and power level of the system. Power transformer failure is caused by insulation failure, low voltage bushing, frequent tap change, tank leakage etc. These causes are analysed with the help of probability of occurrence of each event. The value of probability is assigned to fault tree analysis (FTA). The uncertainties and the randomness of reasons of power failure are handled by fuzzy numbers. Normal distribution concept is applied to deal with fuzzy numbers. Interval type 2 fuzzy system (IT2FS) fuzzifies failure probability and uncertainty of occurrence of failure events more accurately than type 1 fuzz system (T1FS) and conventional FTA do. Thus IT2FS helps to ascertain the chances of failure of power transformer in different conditions.
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页数：4
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