In:
IOP Conference Series: Materials Science and Engineering, IOP Publishing, Vol. 677, No. 4 ( 2019-12-01), p. 042079-
Abstract:
In order to solve the limitation of artificial identification of fault causes and insufficient application of artificial intelligence due to fewer data samples in transmission line faults, a decision tree-based model and method for fault cause identification of transmission lines are studied. Expert support and manual intervention are introduced to verify and confirm the diagnosis conclusions on the basis of automatic diagnosis. It is recognized that the automation of line fault diagnosis and the visualization of the whole process of fault diagnosis can be realized, thus reducing the workload of operation and maintenance staff. Based on the defect data of power company operation and maintenance, the validity and validity of the method are analyzed and verified, which can provide theoretical basis for equipment operation and maintenance decision.
Type of Medium:
Online Resource
ISSN:
1757-8981
,
1757-899X
DOI:
10.1088/1757-899X/677/4/042079
Language:
Unknown
Publisher:
IOP Publishing
Publication Date:
2019
detail.hit.zdb_id:
2506501-4
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