Design and Implementation of an External Voltage-Aided Anomaly Detection Framework for Inverter-Fed Motors Using Encoded Voltage–Current Conversion

This paper presents a deployable motor health monitoring framework for inverter-fed industrial motors, integrating online acquisition of voltage and current signals. The proposed approach exploits the physical correspondence between voltage excitation and current response and adopts a one-dimensiona...

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Detalhes bibliográficos

Principais autores:	Chen-Pei Yi, I-Haur Tsai, Yi-Jen Lin, Hsin-Tien Yeh, Shih-Chin Yang
Formato:	Artigo
Idioma:	Inglês
Publicado em:	IEEE 2026-01-01
coleção:	IEEE Access
Assuntos:	Unsupervised learning motor fault anomaly detection encoded voltage–current conversion (EVCC) PWM voltage measurement
Acesso em linha:	https://ieeexplore.ieee.org/document/11397560/
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