基于智能信息融合的变压器故障诊断

Fault Diagnosis of Transformer Based on Intelligent Information Fusion

提出将模糊理论、神经网络、遗传算法和信息融合技术相结合,建立基于智能信息融合的故障诊断模型,有效地利用已有的经验知识和各种状态信息,主客观证据相融合,应用到变压器故障诊断中,实例证明此方法是有效可行的,实现了对变压器更准确可靠的诊断。

Presents a fault diagnosis model based on intelligent information fusion,combining the fuzzy theory,neural network,genetic algorithm and information fusion. In this approach,existing knowledge and experience in a variety of status information are effective used.Integration of objective and subjective evidence are applied to the transformer fault diagnosis. An illustrative example of transformer demonstrates that this method is feasible and effective,achieving more accurate and reliable diagnosis of transformer.