Work

ODE-CNN: A Fault Diagnosis Model for Complex Data of Rolling Bearings

Year: 2024

Type: conference-paper

Source: International Academic Exchange Conference on Science and Technology Innovation (IAECST)

DOI: 10.1109/iaecst64597.2024.11118205

Authors: Wenchang Zhu, Peng Huang

Institution: Southeast University

Language: English

Topic: Machine Fault Diagnosis Techniques

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: closed

Funders: National Natural Science Foundation of China, Natural Science Foundation of Jiangsu Province

Awards: G6750902674, G7169493858

OpenAlex ID: W4413392891

FWCI:

Cites: 7

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Related to: 10