摘要
提出了一种基于变压器油中溶解气体成分及其含量的变压器故障诊断方法 ,该法综合了进化算化、模糊理论、人工神经网络及范例推理 4种智能技术的优点并克服了其不足。实例分析表明该法诊断准确率较高 ,可用于工程诊断。
A algorithm is presented in this paper. It integrates the advantage of Evolutionary algorithm, Fuzzy theory, Artificial nrural network and Case-based reasoning and overcomes the disadvantage of single artificial intelligence. It is expected that a higher accuracy of diagnosis and practicality can be obtained with this model.
出处
《高电压技术》
EI
CAS
CSCD
北大核心
2002年第5期8-9,12,共3页
High Voltage Engineering
关键词
集成
人工智能
电力变压器
故障诊断
electrical transformer artificial intelligence fault diagnosis