并将其应用到基于溶解气体分析的变压器故障诊断中，实例表明，采用该方法具有较快的收敛速度和较高的诊断准确度，说明了该方法的正确性和有效性。
Simulation results of transformer fault diagnosis based on the dissolved gas analysis show that this method improved convergence speed and diagnosis accuracy to some extent and it is effective.
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。
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。
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.
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