Disturbance Detection of a Power Transmission System Based on the Enhanced Canonical Variate Analysis Method

Disturbance Detection of a Power Transmission System Based on the Enhanced Canonical Variate Analysis Method

Aiming at the characteristics of dynamic correlation, periodic oscillation, and weak disturbance symptom of power transmission system data, this paper proposes an enhanced canonical variate analysis (CVA) method, called SLCVA<i>k</i>NN, for monitoring the disturbances of power transmissi...

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Bibliographic Details
Main Authors: Shubin Wang, Yukun Tian, Xiaogang Deng, Qianlei Cao, Lei Wang, Pengxiang Sun
Format: article
Language:EN
Published: MDPI AG 2021
Subjects:
canonical variate analysis
disturbance detection
power transmission system
<i>k</i>-nearest neighbor analysis
statistical local analysis
Mechanical engineering and machinery
TJ1-1570
Online Access:https://doaj.org/article/4af2f4c10c4e48bb9856d70791c7c335
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https://doaj.org/article/4af2f4c10c4e48bb9856d70791c7c335

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