Work

Overview of digital twin-driven rotating machinery fault diagnosis: status and trends

Year: 2025

Type: article

Source: Measurement Science and Technology

DOI: 10.1088/1361-6501/adc8c3

Authors: Lijuan Zhao, Tong Xie, Yuhong Wei, Yujia Liu, Yi Qin

Institutions: Chongqing University, State Key Laboratory of Mechanical Transmission

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: G4047324081

OpenAlex ID: W4409137537

FWCI: 6.484

Cites: 167

Cited by: 17

Related to: 10