HV衬套模糊多层感知器评价
Fuzzy and Multilayer Perceptron for Evaluation of HV Bushings
摘要：
提出了应用模糊集理论对高压套管的状态进行诊断的方法。诊断使用溶解气体分析（DGA）的数据，从基于IEC 60599和IEEE C57-104标准的油浸纸（OIP）套管的套管。FST和神经网络的精度和计算效率进行了比较。FST和NN仿真都能够诊断套管状况，误差为10%。利用模糊理论，维修部门可以对衬套进行分类，并了解部件的退化程度。
英文摘要：
The work proposes the application of fuzzy set theory (FST) to diagnose the condition of high voltage bushings. The diagnosis uses dissolved gas analysis (DGA) data from bushings based on IEC60599 and IEEE C57-104 criteria for oil impregnated paper (OIP) bushings. FST and neural networks are compared in terms of accuracy and computational efficiency. Both FST and NN simulations were able to diagnose the bushings condition with 10% error. By using fuzzy theory, the maintenance department can classify bushings and know the extent of degradation in the component.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
