基于粗糙集与支持向量机的变压器故障诊断法

为了及时监测变压器潜伏性故障和准确诊断故障,提出了一种基于粗糙集与支持向量机相结合的电力变压器故障诊断的新方法。该法应用粗糙集理论将专家知识简化,获得简约诊断规则并对变压器进行粗诊断,然后以支持向量机准确的二类分类功能进行准确故障诊断。该方法实现了两种智能算法的有效互补,拥有粗糙集理论的处理不完备信息能力、简单快速以及支持向量机准确的二类分类功能,有效弥补了单一算法的不足,提高了故障诊断的快捷性和准确性,且降低了样本训练时间和诊断的复杂度。实验结果与改进的IEC三比值法比较,表明该方法有效、可行,具有较高的诊断准确率。

Fault Diagnosis Method of Transformer Based on Rough Set and Support Vector Machine

A new power transformer fault diagnosis method based on the rough set theory(RST)and support vector machine(SVM)is presented for monitoring transformer latent faults and timely and accurately diagnosing faults.Firstly,a power transformer fault delamination diagnosis model was constructed.The rough set theory was applied to simplify expert knowledge,so that the minimal diagnostic rules could be obtained,and a transformer fault was roughly diagnosed by the rough set theory.Then,with exactly two-sorts classified function of support vector machine,fault diagnosis of power transformer was finally realized.Two intelligent arithmetics can be mutually repaired effectively in this method,which not only holds advantages of disposing imperfectness information competence,simple and speedy of rough set theory,also has exactly two-sort classify function of support vector machine.So the demerits of single intelligent arithmetic are compensated effectively,then shortcut and veracity of the power transformer fault diagnosis and extensive competence can be improved.Meanwhile fault swatch training time and diagnostic complexity are reduced by this method.Finally,the method was tested by many practical fault data of dissolved gas in oil of power transformer.Compared experimental results with those by the traditional three-ratio method and improved new IEC three-ratio method,the diagnosis accuracy is increased to 90%(higher),and the method has less fault tolerance for power transformer fault diagnosis.It is clearly shown that the method is valid and feasible and has better diagnostic accuracy.