The embodiment of the invention provides a power distribution network line icing fault prediction method, device and equipment and a storage medium, and the method comprises the steps: carrying out the feature extraction of original meteorological monitoring data, and constructing a target time sequence set which comprises a target time sequence sample and a target time sequence mark; inputting the target time sequence sample into a pre-trained fault prediction model to obtain a fault classification result of the power distribution network line; and if the fault classification result is that fault data exists, reconstructing the fault data, and determining a fault prediction result of the power distribution network line. Performing feature extraction on the high-dimensional redundant meteorological monitoring data by adopting a convolutional neural network; then the extracted features are input into a fault prediction model for fault prediction, so that the convergence speed and the prediction accuracy of the model are improved; and finally, the prediction result is reconstructed, so that the reconstructed fault classification is closer to an actual value, and the accuracy of the prediction result is improved.
本发明实施例提供了一种配电网线路覆冰故障预测方法、装置、设备及存储介质,该方法包括:对原始气象监测数据进行特征提取,构建目标时间序列集,所述目标时间序列集包含目标时间序列样本和目标时间序列标记;将所述目标时间序列样本输入至预先训练的故障预测模型中,获得配电网线路的故障分类结果;若所述故障分类结果为存在故障数据,则对所述故障数据进行重构,确定配电网线路的故障预测结果。通过采用卷积神经网络对高维度冗余气象监测数据进行特征提取;然后将提取后特征输入至故障预测模型中进行故障预测,提高了模型的收敛速度以及预测准确率;最后对预测结果进行重构,使得重构故障分类更加接近实际值,提高预测结果精准度。
Power distribution network line icing fault prediction method and device, equipment and storage medium
配电网线路覆冰故障预测方法、装置、设备及存储介质
28.04.2023
Patent
Elektronische Ressource
Chinesisch
IPC: | B60K Anordnung oder Einbau von Antriebseinheiten oder von Kraft- bzw. Drehmomentübertragungen in Fahrzeugen , ARRANGEMENT OR MOUNTING OF PROPULSION UNITS OR OF TRANSMISSIONS IN VEHICLES |
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