WU Hong-qi, ZHOU Ni-na, ZHANG Xiao-juan, et al. Application and technology of fault diagnosis for information fusion[J]. 2006, (9): 76-78. DOI: 10.13873/j.1000-97872006.09.025.
信息融合的故障诊断技术及应用
摘要
介绍了信息融合的种类和层次
信息融合的基本特点
融合系统的构成及关键技术;分析了融合技术处理多源信息的能力
将数据融合技术与故障诊断原理融为一体
通过数据层信息融合、特征层信息融合、决策层信息融合
实现了基于数据融合技术的变压器故障诊断;减少了传感器不确定性误差的影响
解决了变压器故障诊断中不确定推理过程
提高了变压器故障诊断的确诊率。
Abstract
The various kinds
levels and basic features of information fusion and the formation as well as the key technology of the fusion system is introduced.Its ability to deal with the multi-sourse information is analyzed.Combining the data-mixing technology with fault-diagnosing theory
realizing the diagnosis of the transformer’s failure based on the data-mixing skills by the levels information fusion of data
features and strategies
the influences of the transformer’s uncertain error is reduced.Solving the uncertain reasoning process of the diagnosis for transformer’s failure
and the precision of the diagnosis for transformer’s failure is increased greatly.
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