Work

Data generation with meta fine-tuned degradation-informed variational autoencoder for remaining useful life prediction under data-scarce scenarios

Year: 2025

Type: article

Source: Advanced Engineering Informatics

DOI: 10.1016/j.aei.2025.104120

Authors: Xinyu Shang, Haobo Qiu, Pei Liang, Jie Shang, Chen Jiang, Liang Gao

Institution: Huazhong University of Science and 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

Funders: National Natural Science Foundation of China, Natural Science Foundation of Hubei Province, Hebei Provincial Key Research Projects, National Key Research and Development Program of China

Awards: G5228538027, G5837935321, G5893845435, G6508362176

OpenAlex ID: W4416829163

FWCI: 1.937

Cites: 48

Cited by: 5

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