基于物元模型的电力变压器故障的可拓诊断方法

为了提高传统的油中溶解气体分析的诊断能力，提出了一种定性与定量相结合的电力变压器故障的可拓诊断方法。首先基于可拓学中的物元理论，建立了定性地描述电力变压器故障诊断问题的物元模型；其次引入可拓集合中的关联函数，根据故障特征定量地计算故障发生的程度；最后以195台次电力变压器为例验证了该方法的有效性。结果表明该方法能够克服IEC三比值法中无法诊断多重故障和无匹配的故障编码的不足，且具有更高的诊断准确率。

EXTENSION DIAGNOSIS METHOD OF POWER TRANSFORMER FAULTS BASED ON MATTER-ELEMENT MODEL

In order to enhance the diagnosis ability of the conventional dissolved gas analysis (DGA), this paper proposes a novel extension diagnosis method for the power transformer fault diagnosis. Firstly, based on matter-element theory in extension theory, a matter-element model is established for qualitatively describing the fault diagnosis problem of power transformer. Secondly, this paper quantitatively calculates the degree of relation of tested power transformer with the faulted characteristic using the extended relation functions. Finally, the effectiveness of this method is proved by 195 fault diagnosis examples of power transformers. The results show that the extension diagnosis method proposed can overcome the drawbacks of the IEC method that cannot diagnose multi-fault and no matching codes for diagnosis. Moreover, it provides high correct diagnosis rate.