Work

MSEvoNet: Multiscale Spatiotemporal Evolution Networks for Remaining Useful Life Prediction in Complex Industrial Systems

Year: 2025

Type: article

Source: IEEE Transactions on Instrumentation and Measurement

DOI: 10.1109/tim.2025.3561378

Authors: Kai Huang, Guozhu Jia, Zeyu Jiao, Yingying Zhang, Tian Bai, Yingjie Cai

Institutions: Beihang University, Guangdong Academy of Sciences, Guangdong Institute of Intelligent Manufacturing, Civil Aviation Flight University of China, Chinese University of Hong Kong

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 Foundation for Science and Technology Development, Natural Science Foundation of Guangdong Province, Guangdong Polytechnic of Science and Technology, Basic and Applied Basic Research Foundation of Guangdong Province

Awards: G1793697400, G2284047598, G4167177884, G4638669949

OpenAlex ID: W4409641476

FWCI: 1.96

Cites: 75

Cited by: 5

Related to: 10