基于数据驱动的配电终端缺陷分析及自诊断方法

针对运维水平难以应对配电终端大规模接入电网的问题，提出一种基于数据驱动的配电终端缺陷分析及自诊断方法。首先分析配电终端缺陷的影响因素和缺陷特征，根据配电终端的结构模型，融合关联规则Apriori算法，提出基于数据驱动的配电终端缺陷分析及自诊断方法，然后通过分析配电终端缺陷产生机制，对配电终端缺陷进行多维度综合自诊断。最后以实际配电终端缺陷数据算例验证了所提方法的实用性。

Data-driven Analytical and Self-Diagnostic Method for Distribution Terminal Defects

For current maintenance can not cope with the large-scale integration of distribution terminal units， a data-driven analytical and self-diagnostic method is proposed for distribution terminal defects. Firstly，factors leading to distribution terminal defects and characteristics of defects are analyzed. Based on the configuration of distribution terminal and Apriori algorithm， data-driven analytical and self-diagnostic method is proposed. Then through analyzing the mechanism of distribution terminal defects， the multi-dimensional comprehensive self-diagnosis of distribution terminal defects is carried out. Finally， the practicality of this method is verified by real distribution terminal defects data.