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EhdNet: Efficient Harmonic Detection Network for All-Phase Processing with Channel Attention Mechanism

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成果类型:
期刊论文
作者:
Deng, Yi;Wang, Lei;Li, Yitong;Liu, Hai;Wang, Yifei
通讯作者:
Deng, Y;Wang, YF
作者机构:
[Deng, Yi; Wang, Lei; Deng, Y] Wuhan Text Univ, Sch Elect & Elect Engn, Wuhan 430200, Peoples R China.
[Deng, Yi; Deng, Y] Wuhan Text Univ, State Key Lab New Text Mat & Adv Proc Technol, Wuhan 430200, Peoples R China.
[Li, Yitong] Hankou Univ, Sch Elect & Informat Engn, Wuhan 430212, Peoples R China.
[Liu, Hai] Cent China Normal Univ, Fac Artificial Intelligence Educ, 152 Luoyu Rd, Wuhan 430079, Peoples R China.
[Wang, Yifei; Wang, YF] Wuhan Univ Sci & Technol, Sch Informat Sci & Engn, Wuhan 430081, Peoples R China.
通讯机构:
[Wang, YF ; Deng, Y ] W
Wuhan Text Univ, Sch Elect & Elect Engn, Wuhan 430200, Peoples R China.
Wuhan Text Univ, State Key Lab New Text Mat & Adv Proc Technol, Wuhan 430200, Peoples R China.
Wuhan Univ Sci & Technol, Sch Informat Sci & Engn, Wuhan 430081, Peoples R China.
语种:
英文
关键词:
channel attention mechanism;all phase;harmonic detection;electric energy measurement
期刊:
Energies
ISSN:
1996-1073
年:
2024
卷:
17
期:
2
基金类别:
Wuhan Textile University
机构署名:
本校为其他机构
摘要:
The core of harmonic detection is the recognition and extraction of each order harmonic in the signal. The current detection methods are seriously affected by the fence effect and spectrum aliasing, which brings great challenges to the detection of each order harmonic in the signal. This paper proposes an efficient harmonic detection neural network based on all-phase processing. It is based on three crucial designs. First, a harmonic signal-processing module is developed to ensure phase invariance and establish the foundation for subsequent modules. Then, we constructed the backbone network an...

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