云模型在电力变压器故障诊断中的应用

The Application of Cloud Model in Fault Diagnosis in Power Transformers

鉴于物元理论在构建诊断模型时,忽略了分界值的不确定性,使诊断结果偏离了实际情况。利用云模型能合理地解决边界不确定问题,将物元理论与云模型相结合,建立了新的故障诊断模型。同时,结合油中溶解气体分析技术,通过对油中溶解气体的浓度、产气率、总烃含量以及气体间比值的分析,客观、准确地对变压器进行故障诊断。通过与其他诊断技术相比较,并结合案例分析,得出基于物元理论和云模型的变压器故障诊断技术具有更高的正确率。

In view of matter-element theory solving fault diagnosis problems in a simple and effective method,ignoring the uncertainty of boundary values,the result is deviated from the actual situation.Using cloud model theory to consider the uncertainty of the boundary,cloud model theory is combined with matter-element theory to propose a new model.Meanwhile,combined with oil dissolved gas analysis,by analyzing the concentration of dissolved gases,gas production rate,the total hydrocarbon content and the ratio between different gases in oil,transformer fault diagnosis model is establieshed,then the transformer fault is determined accurately and objectively.By compared with other techniques,combined with case analysis,the conclusion is reached that the new technique which is based on matter-element theory and cloud model has a higher accuracy.