【摘要】：為彌補傳統(tǒng)單一診斷在變壓器故障診斷應用中的不足,在全面分析模糊集和故障樹各自優(yōu)勢的基礎上提出了緊致融合模糊集和故障樹的變壓器故障診斷方法,旨在有機融合模糊集和故障樹的優(yōu)點,提高變壓器故障診斷的準確性和效率。以故障樹理論分析為基礎,構建了緊致融合模糊集和故障樹的診斷模型,重點闡述了其構建方法和診斷邏輯。案例分析表明:相比與傳統(tǒng)的故障樹診斷技術,緊致融合模糊集和故障樹的變壓器故障診斷技術的容錯能力更強;診斷結果記錄了診斷的一些中間過程,并在信息不完備的情況下,返回相關的信息為研究人員進行下一步分析提供參考。
[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.
【作者單位】： 水力機械過渡過程教育部重點實驗室;武漢大學動力與機械學院;
【基金】：國家自然科學基金(51077102)~~
【分類號】：TM407

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