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发明公开
CN108021945A 一种变压器状态评价模型建立方法及装置 无效 - 驳回

一种变压器状态评价模型建立方法及装置
摘要：
本发明公开了一种变压器状态评价模型建立方法及装置，该方法包括：根据获取到的变压器状态数据通过相关向量机建立各种变压器典型故障风险模型；通过贝叶斯网络将各种所述变压器典型故障风险模型关联，建立变压器状态评价模型，再进行迭代直至建立若干个变压器状态评价模型，并获取到与各个所述变压器状态评价模型对应的权重和参数；通过AdaBoost算法将各个所述变压器状态评价模型对应的权重和各个所述变压器状态评价模型对应的参数进行线性组合，建立目标变压器状态评价模型。本发明通过相关向量机、贝叶斯网络和AdaBoost算法建立出用于对变压器状态进行评价的模型，该模型能够针对变压器的多种特征信息，对不同变压器信息条件下的状态进行精准的评价。
摘要（英）：

The invention discloses a method and device for establishing a transformer state evaluation model. The method comprises the steps of establishing various transformer typical fault risk models througha correlation vector machine according to obtained transformer state data; associating the various transformer typical fault risk models by a Bayesian network, establishing a transformer state evaluation model, performing iterations repeatedly until a plurality of transformer state evaluation models are established, and obtaining weights and parameters corresponding to the transformer state evaluation models; and linearly combining the weights corresponding to the transformer state evaluation models and the parameters corresponding to the transformer state evaluation models through an AdaBoostalgorithm to establish a target transformer state evaluation model. According to the invention, the model for evaluating transformer states is established by using the correlation vector machine, theBayesian network and the AdaBoost algorithm, and the model can accurately evaluate the states under different transformer information conditions for a variety of feature information of transformers.

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