Citation Impact
Citing Papers
Deep learning algorithms for rotating machinery intelligent diagnosis: An open source benchmark study
2020 Standout
Digital Twin: Values, Challenges and Enablers From a Modeling Perspective
2020
A Review of Early Fault Diagnosis Approaches and Their Applications in Rotating Machinery
2019
Digital Twin: Benefits, use cases, challenges, and opportunities
2023 Standout
Digital twin modeling
2022 Standout
Fault Diagnosis Method Based on Principal Component Analysis and Broad Learning System
2019 Standout
Digital Twins: A Survey on Enabling Technologies, Challenges, Trends and Future Prospects
2022 Standout
Federated learning enabled digital twins for smart cities: Concepts, recent advances, and future directions
2022 Standout
Pedestal looseness fault diagnosis in a rotating machine based on variational mode decomposition
2016
The Role of AI, Machine Learning, and Big Data in Digital Twinning: A Systematic Literature Review, Challenges, and Opportunities
2021 Standout
Works of Kuan Lu being referenced
Review for order reduction based on proper orthogonal decomposition and outlooks of applications in mechanical systems
2019
Stability analysis of reduced rotor pedestal looseness fault model
2015