An error recognition method for power equipment defect records based on knowledge graph technology

To recognize errors in the power equipment defect records in real time, we propose an error recognition method based on knowledge graph technology. According to the characteristics of power equipment defect records, a method for constructing a knowledge graph of power equipment defects is presented....

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Bibliographic Details
Published in:Frontiers of information technology & electronic engineering 2019-11, Vol.20 (11), p.1564-1577
Main Authors: Wang, Hui-fang, Liu, Zi-quan
Format: Article
Language:English
Subjects:
Communications Engineering
Computer Hardware
Computer Science
Computer Systems Organization and Communication Networks
Defects
Electrical Engineering
Electronics and Microelectronics
Graphs
Human error
Instrumentation
Knowledge representation
Machine learning
Networks
Real time
Recognition
Search algorithms
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Summary:To recognize errors in the power equipment defect records in real time, we propose an error recognition method based on knowledge graph technology. According to the characteristics of power equipment defect records, a method for constructing a knowledge graph of power equipment defects is presented. Then, a graph search algorithm is employed to recognize different kinds of errors in defect records, based on the knowledge graph of power equipment defects. Finally, an error recognition example in terms of transformer defect records is given, by comparing the precision, recall, F 1 -score, accuracy, and efficiency of the proposed method with those of machine learning methods, and the factors influencing the error recognition effects of various methods are analyzed. Results show that the proposed method performs better in error recognition of defect records than machine learning methods, and can satisfy real-time requirements.
ISSN:2095-9184
2095-9230
DOI:10.1631/FITEE.1800260