Data mining of power transmission line fault based on apriori algorithm

摘要

The introduction of big data technology into power industry provides a new idea for power transmission line fault analysis. Alone with this route, the paper tends to evaluate its feasibility by investigating the data of power grid related to the transmission line fault analysis. Then, the framework of big data analysis system and data integration and preprocessing methods are proposed. At last, Apriori algorithm is used to mine the key attribute of fault cause and fault parts of the transmission line. With a test of a provincial power grid, the results show that the proposed scheme can effectively select the key attributes of cause and location of the power transmission line fault.