Work

Fault Diagnosis of Motors via Multivariable Time Sequence Features Fusion of Electrical Signals

Year: 2025

Type: conference-paper

Source: Conference on Fully Actuated System Theory and Applications (FASTA)

DOI: 10.1109/fasta65681.2025.11138459

Authors: Xingguan Tan, Guo-Ping Liu

Institution: Southern University of Science and Technology

Language: English

Topic: Machine Fault Diagnosis Techniques

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: closed

Funder: National Natural Science Foundation of China

Award: G2824169388

OpenAlex ID: W4414170575

FWCI:

Cites: 23

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