Transformer Winding Looseness Fault Diagnosis Based on CEEMDAN-MPE and ISSA-KELM

Author:

Cai Genghui1,Gao Wenjie1,Chen Jing1,Guo Yujie2,Zhang Xiawei2

Affiliation:

1. State Grid Jiangsu Electric Power Co., Ltd.,Danyang Power Supply Branch,Danyang,China

2. State Grid Jiangsu Technician Training Center,Jiangsu,China

Funder

State Grid Jiangsu Electric Power

Publisher

IEEE

Reference8 articles.

1. Sparrow Search Algorithm with Multiple Strategies Fusion;wang;Control Theory & Applications,2023

2. RESEARCH ON SURFACE CRACK IDENTIFICATION METHOD OF LARGE WIND TURBINE BLADE BASED ON WPT-SVD-KELM;liu;Control Theory & Applications,2023

3. Fault Diagnosis of Rolling Bearings Based on lmproved MPE and KELM;zhao;Noise and Vibration Control,2022

4. Composite Monitoring Method for the State of Transformer Winding Deformation Based on Vibration and Reactance Information;cao;High Voltage Engineering,2022

5. Fault diagnosis of one-way valve of high-pressure diaphragm pump based on CEEMDAN multi-scale permutation entropy and SO-RELM;li;Journal of Vibration and Shock,2023

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