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Digital twin-driven intelligent fault diagnosis technology for crushers

Year: 2025

Type: article

Source: Measurement Science and Technology

DOI: 10.1088/1361-6501/adc6a9

Authors: Pubo Gao, Aixiang Ma, Xihao Yan, Xu Chu, Xiuyun Liu, Sihai Zhao

Institutions: China University of Mining and Technology, China University of Mining and Technology - Beijing

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

OpenAlex ID: W4408932339

FWCI: 1.176

Cites: 22

Cited by: 3

Related to: 10