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Multilevel Feature Moving Average Ratio Method for Fault Diagnosis of the Microgrid Inverter Switch

Zhanjun Huang Zhanshan Wang Huaguang Zhang

自动化学报（英文版）2017，Vol.4Issue(2)：177-185,9.

自动化学报（英文版）2017，Vol.4Issue(2)：177-185,9.DOI:10.1109/JAS.2017.7510496

Multilevel Feature Moving Average Ratio Method for Fault Diagnosis of the Microgrid Inverter Switch

Zhanjun Huang ¹Zhanshan Wang ²Huaguang Zhang¹

作者信息

1. the College of Information Science and Engineering, Northeastern University, Shenyang 110819,China
2. the State Key Laboratory of Synthetical Automation for Process Industries, Shenyang 110819, China
折叠

摘要

关键词

Absolute average ratio process/fault diagnosis/microgrid inverter/multilevel feature moving average ratio/neural network

Key words

Absolute average ratio process/fault diagnosis/microgrid inverter/multilevel feature moving average ratio/neural network

引用本文复制引用

Zhanjun Huang,Zhanshan Wang,Huaguang Zhang..Multilevel Feature Moving Average Ratio Method for Fault Diagnosis of the Microgrid Inverter Switch[J].自动化学报（英文版）,2017,4(2):177-185,9.

基金项目

This work was supported by National Natural Science Foundation of China (61473070,61433004),Fundamental Research Funds for the Central Universities (N130504002),and SAPI Fundamental Research Funds (2013ZCX01). （61473070,61433004）

自动化学报（英文版）

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