The invention relates to a power supply equipment fault prediction method and device, equipment and a storage medium, and is applied to the field of power monitoring, and the method comprises the steps: obtaining operation condition data corresponding to power supply equipment fault prediction; performing feature extraction on the operation condition data to obtain feature data; inputting the feature data into a preset fault prediction model to obtain a fault prediction result; and if the fault prediction result is an equipment fault, generating a fault early warning instruction, and sending the fault early warning instruction to an equipment terminal of a worker. The technical effect of the application is that the early fault prediction of the equipment operation period is realized according to the power supply equipment fault prediction monitoring data in the PSCADA power supply equipment fault prediction system.
本申请涉及一种供电设备故障预测方法、装置、设备及存储介质,应用在电力监控领域,其中方法包括:获取供电设备故障预测对应的运行工况数据;对所述运行工况数据进行特征提取,得到特征数据;将所述特征数据输入至预设的故障预测模型中,得到故障预测结果;若所述故障预测结果是设备故障,则生成故障预警指令,并将所述故障预警指令发送至工作人员的设备终端。本申请具有的技术效果是:实现了根据PSCADA供电设备故障预测系统中供电设备故障预测监测数据对设备运行期的故障早期预测。
Power supply equipment fault prediction method and device, equipment and storage medium
供电设备故障预测方法、装置、设备及存储介质
2023-06-23
Patent
Electronic Resource
Chinese
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