正态云模型在电力变压器状态评估中的应用

传统的模糊综合评判模型只考虑了指标的模糊性而忽略了随机性,而云模型理论既考虑了事物的模糊性同时也兼顾了随机性。采用评判对象的分指标评判结果推算目的指标评判结果,将该方法应用到变压器状态评估中,利用层次分析法获得各指标的权重信息,并利用正态云模型的普适性,提出了新的基于云模型的变压器状态评估方法,通过实验验证了该方法的可行性。

The application of normal cloud model in condition assessment in power transformers

Traditional fuzzy comprehensive evaluation model only considered fuzziness and ignored randomness of uncertainty.The cloud model considers fuzziness and randomness of uncertainty at the same time.In this article,we will use sub-indicators of the evaluation object to calculate the evaluation results of objective indicators and get weight information by AHP.We present a new model based on cloud transformer condition assessment methods using the universal normal cloud model,and through experiments show that this method is feasible.