基于IPSO＿LSSVM的电力电容器噪声测量结果的不确定度评定

Uncertainty Evaluation of Power Capacitor Noise Measurement Results Based on IPSO＿LSSVM

针对测量不确定评定数学模型无法通过确定的数学关系进行表达的问题,本文将噪声测量的影响因素作为输入,扩展不确定度作为输出,建立LSSVM噪声测量的不确定度评定数学模型。由于该模型易受参数c和?的影响,故对其用改进的粒子群算法优化,从而应用于电力电容器单元噪声测量结果的不确定评定,研究结果表明,该算法具有精度高、速度快的优点,值得推广和应用。

In view of the problem that the mathematical model of measurement uncertainty evaluation can not be expressed by definite mathematical relations,this paper takes the influence factors of noise measurement as input and the expanded uncertainty as output.A mathematical model of uncertainty evaluation for noise measurement of LSSVM is established.Because the parameters c and冦in the model are affected easily,the improved particle swarm optimization algorithm is used to evaluate the uncertainty of noise measurement results of power capacitor units.The research results show the algorithm has the advantages of high precision,high speed,and it is worth popularization and application.