Work

Power Quality Disturbances Recognition via Lightweight Deep Learning Framework Integrated With Time-Frequency Analysis Embedded

Year: 2025

Type: article

Source: IEEE Transactions on Instrumentation and Measurement

DOI: 10.1109/tim.2025.3615304

Authors: Juncai Song, Yuting Wang, Yuan Gao, Hong Ye, Dengzhou Fang, Xiaoxian Wang, Zhiyong Hu, Siliang Lu

Institutions: Anhui University, State Grid Corporation of China (China)

Language: English

Topic: Power Quality and Harmonics

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

Funders: National Natural Science Foundation of China, Anhui Provincial Key Laboratory of Optoelectronic Science and Technology, Natural Science Foundation of Anhui Province

Awards: G1312940345, G676108276, G7082695095, G8723699795, G8992502610

OpenAlex ID: W4414603842

FWCI: 1.617

Cites: 48

Cited by: 7

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