Work

Fault Diagnosis of Rolling Bearings Based on CNN-BiLSTM-SE Model

Year: 2024

Type: conference-paper

Source: International Conference on Image Processing, Computer Vision and Machine Learning (ICICML)

DOI: 10.1109/icicml63543.2024.10958068

Authors: Yuze Tao, Lu Li

Institution: Shanghai University of Engineering Science

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

Funders: National Natural Science Foundation of China, Shanghai University

OpenAlex ID: W4409427524

FWCI: 0.722

Cites: 10

Cited by: 1

Related to: 10