Work

Detecting Low-Intensity Cyber-Attacks in Electric Drives via Contrastive Few-Shot Learning

Year: 2025

Type: article

Source: IEEE Transactions on Power Electronics

DOI: 10.1109/tpel.2025.3613220

Authors: He Yang, Jin Ye

Institution: University of Georgia

Language: English

Topic: Machine Fault Diagnosis Techniques

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

Funder: National Science Foundation

OpenAlex ID: W4414404664

FWCI: 0.782

Cites: 10

Cited by: 2

Related to: