This paper proposes a method for establishing a power transformer fault tree based on fault cases. The method includes obtaining multiple fault cases of power transformers, dismantling multiple fault cases according to preset dismantling rules, classifying the faults of power transformers according to multiple fault cases, and establishing the basic framework of the fault tree. According to the results of dismantling, we are able to determine the logical relationship between the fault cause and the fault phenomenon of the power transformer. Based on the basic framework of the fault tree and the determined logical relationship, we build a fault tree for power transformers based on fault cases. This method will effectively improve the role of fault cases in the establishment of power transformer fault trees, realize fault identification and diagnosis of power transformers with high efficiency and high practicability, improve the efficiency of transformer fault analysis and disposal, and save power outage time caused by transformer faults.
With the development of electric power industries, the number of standards has grown rapidly. However, the contents of standard clauses extracted from various fields are often inconsistent. It is difficult for the staff to choose the proper standard clauses in their work. Therefore, it is significant to provide staff with consistent electric power standard clauses. This paper takes the standard documents in the electric power field as the data source, and focuses on how to find out the related but inconstant clauses in the documents. We take advantage of the entity relationships of knowledge graph to get the discrepancies of electric power standard clauses. The experimental results illustrate the good performance of the proposed method in terms of precision and recall. The precision rate is 76.45%, and the recall rate reaches 84.72%. In addition, the proposed approach could also provide a solution to the differential discrimination of standard documents in various industries.
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