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紧致融合模糊集和故障树的变压器故障诊断

发布时间:2018-08-20 16:38
【摘要】:为弥补传统单一诊断在变压器故障诊断应用中的不足,在全面分析模糊集和故障树各自优势的基础上提出了紧致融合模糊集和故障树的变压器故障诊断方法,旨在有机融合模糊集和故障树的优点,提高变压器故障诊断的准确性和效率。以故障树理论分析为基础,构建了紧致融合模糊集和故障树的诊断模型,重点阐述了其构建方法和诊断逻辑。案例分析表明:相比与传统的故障树诊断技术,紧致融合模糊集和故障树的变压器故障诊断技术的容错能力更强;诊断结果记录了诊断的一些中间过程,并在信息不完备的情况下,返回相关的信息为研究人员进行下一步分析提供参考。
[Abstract]:In order to make up for the deficiency of traditional single diagnosis in transformer fault diagnosis, based on the comprehensive analysis of the advantages of fuzzy set and fault tree, a method of transformer fault diagnosis based on compact fusion of fuzzy set and fault tree is proposed. The purpose of this paper is to improve the accuracy and efficiency of transformer fault diagnosis by integrating the advantages of fuzzy set and fault tree. Based on the analysis of fault tree theory, a diagnosis model of compact fusion fuzzy set and fault tree is constructed, and its construction method and diagnosis logic are described emphatically. The case study shows that the fault diagnosis technology of transformer with compact fusion of fuzzy set and fault tree is more fault-tolerant than the traditional fault tree diagnosis technology, and some intermediate processes of diagnosis are recorded in the diagnosis results. In the case of incomplete information, the return of relevant information for researchers to provide a reference for the next analysis.
【作者单位】: 水力机械过渡过程教育部重点实验室;武汉大学动力与机械学院;
【基金】:国家自然科学基金(51077102)~~
【分类号】:TM407

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