Research on rolling bearing fault diagnosis based on digital twin data and improved ConvNext
C Zhang, F Qin, W Zhao, J Li, T Liu - Sensors, 2023 - mdpi.com
This article introduces a novel framework for diagnosing faults in rolling bearings. The
framework combines digital twin data, transfer learning theory, and an enhanced ConvNext …
framework combines digital twin data, transfer learning theory, and an enhanced ConvNext …
Modeling error assessment of reduced-order finite element models for SHM: A case study of Milad Tower
Condition assessment, model updating, and basic studies of large and complex structures
subjected to static and dynamic loadings necessitate establishing a reasonably low order …
subjected to static and dynamic loadings necessitate establishing a reasonably low order …
[引用][C] The application and development of digital twin in the marine domain
H Zhen-Zhong, L Yi, Z Jian-Min