Open AccessBig Data Lean Evaluation of Transformer Operating Information
Author(s) -
Tao Wang,
Zhao Yao-jun
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/772/1/012044
Subject(s) - transformer , reliability engineering , workload , computer science , engineering , electrical engineering , voltage , operating system
Current status information of transformer is various and irregular. The difficult problem is how to reasonably analyze, process and comprehensive use the information. This paper, according to characteristics, repair strategies and management experience of transformers, extracts, integrates, optimizes and normalizes current status evaluation standards, and establishes a set of status accurate evaluation model based on transformer operating information with big data analysis and mining algorithm to get accurate portrayal of transform, so as to find out potential defects in time, and improve transformer control efficiency, operating stability and reliability. The operation in certain city shows the model could greatly reduce workload of status evaluation and save large amount of labor and equipment costs.