Work

RUL prediction based on GAM–CNN for rotating machinery

Year: 2023

Type: article

Source: Journal of the Brazilian Society of Mechanical Sciences and Engineering

DOI: 10.1007/s40430-023-04062-8

Authors: Xianjun Du, Wenchao Jia, Ping Yu, Yaoke Shi, Bin Gong

Institution: Lanzhou University of Technology

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

Funder: National Natural Science Foundation of China

Award: G1383817590

OpenAlex ID: W4319924673

FWCI: 3.288

Cites: 35

Cited by: 30

Related to: 10