Work

Identification of Optimal Time Domain Features for Machine Learning based Fault Classification

Year: 2024

Type: conference-paper

Source: IEEE Dallas Circuits and Systems Conference (DCAS)

DOI: 10.1109/dcas61159.2024.10539910

Authors: Vehbi Akin, Mutlu Mete

Institution: East Texas A&M University

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: W4399206368

FWCI: 1.346

Cites: 8

Cited by: 2

Related to: 10