Work

Motor bearing fault diagnosis method based on GJO-LSSVM

Year: 2024

Type: conference-paper

Source: International Conference on Electronics, Electrical and Information Engineering (ICEEIE)

DOI: 10.1117/12.3052164

Authors: Runyu Ma, Bin Jiao

Institution: Shanghai Dianji 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: W4405293526

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