Work

STFT and CNN-1D for Mechanical Anomaly Detection in Electrical Machines

Year: 2024

Type: conference-paper

DOI: 10.1109/imc-ssgp63352.2024.10919861

Authors: Sami Ibn Kaddida, Mohamed Abid, Salah Zidi

Institution: University of Gabès

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

OpenAlex ID: W4408565972

FWCI:

Cites: 18

Cited by:

Related to: 10