Simulation results show that the proposed method possesses good resolution and estimation accuracy and can effectively estimate the spatial positions of multiple discharging points within transformer.
仿真结果表明，该方法具有良好的分辨力和估计精度，能有效估计出变压器内多个放电点的空间位置。
The algorithm of faults diagnosis for transformer based on fuzzy optimum distance is discussed. The inference, calculation and simulation of algorithm is given.
提出了一种模糊距优距离的变压器故障气体分析诊断算法，给出了该算法的推理、计算及仿真结果。
Simulation results show that the iterations are fewer, convergence rate is faster than the improved BP algorithm, and the transformer fault types can be distinguished.
仿真结果表明：改进后的粒子群算法迭代次数少，收敛速度比改进的BP算法快，可以对变压器的故障类型进行区分。
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