Inverter fault prediction and diagnosis method based on Spark and PSO-FCM algorithm-Reference-Cited by-同舟云学术

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Inverter fault prediction and diagnosis method based on Spark and PSO-FCM algorithm

Published:2024-05-17 Issue: Volume:20 Page:1566-1570
ISSN:
Container-title:2024 3rd International Conference on Energy, Power and Electrical Technology (ICEPET)
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Author:

Li Mengyuan¹,Yang Huixuan²,Xia Qianqian²,Yan Peiliang²,Duan Yingjie²,Wang Guibin²

Affiliation:

1. State Grid Corporation of China,Beijing,China

2. Shandong Huake Information Technology Co., Ltd,Jinan,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10625771/10625773/10627031.pdf?arnumber=10627031

Reference16 articles.

1. Fault diagnosis strategy of grid-connected inverter based on multilevel feature extraction[J];Junchao;Journal of Power Supply,2022

2. A fast diagnosis method of inverter open-circuit fault based on ESO-MLD[J];Xiaxia;Journal of Power Supply,2021

3. 48V 25kW GaN Inverter Design Consideration for Urban-Sized Electric Utility Vehicles

4. Inverter fault diagnosis based on wavelet packet and quantum neural network[J];Yi;Journal of Chongqing University of Technology (Natural Science),2021

5. Abnormal detection technology of photovoltaic inverter data based on GAN[J];Jiaqi;Power System Protection and Control,2022

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