Zhong Luo

发表

Structural similitude for a scaled rotor system considering stiffness characteristics of bolted joints

Yuqi Li, Lei Li, Zhong Luo, 2022, Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science.

Shock-Induced Vibration of Composite Truss Core Sandwich Plates with Distributed Nonlinear Absorbers by Optimal Locations

Wei Zhang, Xiangying Guo, Jian-en Chen, 2022, Actuators.

Shock-Induced Vibration Suppression of Composite Truss Core Sandwich Plates via Distributed Nonlinear Energy Sinks

Wei Zhang, D. Cao, Xiangying Guo, 2022 .

Federated learning for machinery fault diagnosis with dynamic validation and self-supervision

Wei Zhang, Hui Ma, Xiang Li, 2021, Knowl. Based Syst..

Machinery fault diagnosis with imbalanced data using deep generative adversarial networks

Xu Li, Wei Zhang, Xiaodong Jia, 2020 .

Effects of supporting stiffness of deep groove ball bearings with raceway misalignment on vibration behaviors of a gear-rotor system

B. Wen, Zhong Luo, Qingkai Han, 2022, Mechanism and Machine Theory.

Data alignments in machinery remaining useful life prediction using deep adversarial neural networks

Xu Li, Wei Zhang, Hui Ma, 2020, Knowl. Based Syst..

Transfer learning using deep representation regularization in remaining useful life prediction across operating conditions

Hui Ma, Wei Zhang, Xiang Li, 2021, Reliab. Eng. Syst. Saf..

Nonlinear forced vibration of hybrid fiber/graphene nanoplatelets/polymer composite sandwich cylindrical shells with hexagon honeycomb core

Z. Qin, Wei Sun, Zhong Luo, 2022, Nonlinear Dynamics.

Deep learning-based adversarial multi-classifier optimization for cross-domain machinery fault diagnostics

Xu Li, Wei Zhang, Hui Ma, 2020 .

Open-Set Domain Adaptation in Machinery Fault Diagnostics Using Instance-Level Weighted Adversarial Learning

Hui Ma, Wei Zhang, Xu Li, 2021, IEEE Transactions on Industrial Informatics.

Universal Domain Adaptation in Fault Diagnostics With Hybrid Weighted Deep Adversarial Learning

Hui Ma, Wei Zhang, Xu Li, 2021, IEEE Transactions on Industrial Informatics.

Partial transfer learning in machinery cross-domain fault diagnostics using class-weighted adversarial networks

Wei Zhang, Zhong Luo, Hui Ma, 2020, Neural Networks.

Intelligent cross-machine fault diagnosis approach with deep auto-encoder and domain adaptation

Wei Zhang, Hui Ma, Zhong Luo, 2020, Neurocomputing.

Domain generalization in rotating machinery fault diagnostics using deep neural networks

Xu Li, Xiang Li, Wei Zhang, 2020, Neurocomputing.

Degradation Alignment in Remaining Useful Life Prediction Using Deep Cycle-Consistent Learning

Xu Li, Zhong Luo, Wei Zhang, 2021, IEEE Transactions on Neural Networks and Learning Systems.

Vibration suppression of nonlinear laminated composite plates using internal oscillator-enhanced nonlinear energy sinks

Dong Yang, Xiangying Guo, Zhong Luo, 2023, Engineering structures.

Effect of static and dynamic misalignment of rolling bearing on nonlinear vibration characteristics of rotor system

Zhong Luo, Pengfei Wang, Q. Han, 2023, Journal of Central South University.

Vibration characteristics of bearing-rotor systems with inner ring dynamic misalignment

B. Wen, Zhong Luo, Qingkai Han, 2022, International Journal of Mechanical Sciences.

Vibration characteristics of rotor-bearing system with angular misalignment and cage fracture: Simulation and experiment

B. Wen, Xu Li, Zhong Luo, 2022, Mechanical Systems and Signal Processing.

A Dynamic Active Safe Semi-Supervised Learning Framework for Fault Identification in Labeled Expensive Chemical Processes

Xia Yang, Xuqing Jia, Tian Wende, 2020, Processes.

Dynamic modeling and analysis of two-span rotor-pedestal system with bearing tilt and extended defect: simulation and experiment

Zhong Luo, Pengfei Wang, Hui-Yong Ma, 2023, Applied Mathematical Modelling.