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基于模糊信息熵的变压器故障诊断方法研究

Fault Diagnosis for Transformer Based on Fuzzy Entropy
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摘要 针对IEEE三比值法对油浸式变压器故障诊断的缺码和多种故障发生时的难诊断现象,建立标准故障序列,利用灰色关联度原理判断故障气体与标准序列的关联程度,根据模糊熵的原理计算故障气体与标准模型的相对熵,相对熵最小的标准序列即为变压器的绝缘故障。实验结果证明,该方法能较好地解决三比值法的缺码现象,能准确地判断变压器的绝缘故障,提高电力系统的可靠度,维护系统安全。 Power transformer is one of the key equipment of the power system, so it is valuable for power transformers to discover the incipient fault timely and truly. Code deficiency exists in the gas ratio methods by the IEC/IEEE standard and fault diagnosis for power transformers. A model based on fuzzy entropy for power transformer faults is put forward. This new diagnosis method expand coding bound of original IEC three-ratio. At the same time, the method has some contain fault ability in a certain degree. It also shows the probability and disposes lost or false power transformer fault symptoms. That shows the validity of that method in power transformer fault diagnosis by dissolved gas-in-oil analysis.
作者 郭祖平
出处 《船电技术》 2008年第3期159-162,共4页 Marine Electric & Electronic Engineering
关键词 三比值法 故障诊断 灰色关联 模糊熵 three-ratio fault diagnosis Gray relational entropy fuzzy entropy
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