Big Data Modeling and Analysis for Power Transmission Equipment: A Novel Random Matrix Theoretical Approach

This paper explores a novel idea for power equipment monitoring and finds that random matrix theory is suitable for modeling the massive data sets in this situation. Big data analytics are mined from those data. We extract the statistical correlation between key states and those parameters. In parti...

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Bibliographic Details
Main Authors: Yingjie Yan, Gehao Sheng, Robert Caiming Qiu, Xiuchen Jiang
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8225623/