A Complete EEMD with Adaptive Noise Analysis and Improved LSSVM for Transformer Winding Looseness Fault Diagnosis
Author:
Affiliation:
1. State Grid Ningxia Electric Power Co., Ltd. Yinchuan Power Supply Company,Ningxia,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10532251/10532216/10532634.pdf?arnumber=10532634
Reference10 articles.
1. Design and Optimization of a 200-kW Medium-Frequency Transformer for Medium-Voltage SiC PV Inverters
2. Distributed Sea Clutter Denoising Algorithm Based on Variational Mode Decomposition;Sun;Instrumentation,2020
3. Feature extraction for vibration signal of transformer winding with multiple faults;Li;Electric Power Automation Equipment,2014
4. A Novel Feature Extraction Method for Power Transformer Vibration Signal Based on CEEMDAN and Multi-Scale Dispersion Entropy
5. State Recognition of Transformer based on SVM Classification of vibration signals;Wu;High Voltage Apparatus,2019
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