Ruonan Liu

发表

Time-frequency atoms-driven support vector machine method for bearings incipient fault diagnosis

Shibin Wang, Xuefeng Chen, Boyuan Yang, 2016 .

The application of cubic B-spline collocation method in impact force identification

Ruonan Liu, Xiaofeng Xue, Xuefeng Chen, 2015 .

Simultaneous Bearing Fault Recognition and Remaining Useful Life Prediction Using Joint-Loss Convolutional Neural Network

Alexander Hauptmann, Ruonan Liu, Boyuan Yang, 2020, IEEE Transactions on Industrial Informatics.

Morphological Component Analysis-Based Hidden Markov Model for Few-Shot Reliability Assessment of Bearing

Ruonan Liu, Xianling Li, Weijun Li, 2022, Machines.

Task-Sequencing Meta Learning for Intelligent Few-Shot Fault Diagnosis With Limited Data

Ruonan Liu, Dongyue Chen, Yidan Hu, 2022, IEEE Transactions on Industrial Informatics.

Self-Attention and Multi-Task Based Model for Remaining Useful Life Prediction with Missing Values

Ruonan Liu, Kai Zhang, 2022, Machines.

Parametric multiphysics finite-volume theory for periodic composites with thermo-electro-elastic phases

Xuefeng Chen, Ruonan Liu, Wenqiong Tu, 2017 .

Multiscale Kernel Based Residual Convolutional Neural Network for Motor Fault Diagnosis Under Nonstationary Conditions

Fei Wang, S. Joe Qin, Boyuan Yang, 2020, IEEE Transactions on Industrial Informatics.

Sparse Time-Frequency Representation for Incipient Fault Diagnosis of Wind Turbine Drive Train

Xuefeng Chen, Boyuan Yang, Ruonan Liu, 2018, IEEE Transactions on Instrumentation and Measurement.

Sparse representation based on redundant dictionary and basis pursuit denoising for wind turbine gearbox fault diagnosis

Xuefeng Chen, Boyuan Yang, Ruonan Liu, 2016, 2016 International Symposium on Flexible Automation (ISFA).

Remaining Useful Life Prediction Based on a Double-Convolutional Neural Network Architecture

Enrico Zio, Boyuan Yang, Ruonan Liu, 2019, IEEE Transactions on Industrial Electronics.

Artificial intelligence for fault diagnosis of rotating machinery: A review

Enrico Zio, Xuefeng Chen, Boyuan Yang, 2018, Mechanical Systems and Signal Processing.

Fault diagnosis of wind turbine using local mean decomposition and synchrosqueezing transforms

Shibin Wang, Xiang Li, Xuefeng Chen, 2016, 2016 IEEE International Instrumentation and Measurement Technology Conference Proceedings.

Fault Diagnosis for a Wind Turbine Generator Bearing via Sparse Representation and Shift-Invariant K-SVD

Xuefeng Chen, Boyuan Yang, Ruonan Liu, 2017, IEEE Transactions on Industrial Informatics.

Fault Diagnosis and Health Management of Power Machinery

Ruonan Liu, Pradeep Kundu, Zhibin Zhao, 2023, Machines.

Coarse-to-Fine: Progressive Knowledge Transfer-Based Multitask Convolutional Neural Network for Intelligent Large-Scale Fault Diagnosis

Q. Hu, Ruonan Liu, Dongyue Chen, 2021, IEEE Transactions on Neural Networks and Learning Systems.

Dislocated Time Series Convolutional Neural Architecture: An Intelligent Fault Diagnosis Approach for Electric Machine

Xuefeng Chen, Boyuan Yang, Ruonan Liu, 2017, IEEE Transactions on Industrial Informatics.

Sparse components separation-based operational reliability assessment approach

Xuefeng Chen, Boyuan Yang, Ruonan Liu, 2016, 2016 Prognostics and System Health Management Conference (PHM-Chengdu).

Majorities help minorities: Hierarchical structure guided transfer learning for few-shot fault recognition

Ruonan Liu, Zongxia Xie, Hao Chen, 2021, Pattern Recognit..

Sparse deconvolution for the large-scale ill-posed inverse problem of impact force reconstruction

Baijie Qiao, Xingwu Zhang, Ruonan Liu, 2017 .

A Two-Stage Transfer Regression Convolutional Neural Network for Bearing Remaining Useful Life Prediction

Ruonan Liu, Weijun Li, Xianling Li, 2022, Machines.

Cascade Convolutional Neural Network With Progressive Optimization for Motor Fault Diagnosis Under Nonstationary Conditions

Qinghua Hu, Fei Wang, Xuefeng Chen, 2021, IEEE Transactions on Industrial Informatics.

LSTM-Based Multi-Task Method for Remaining Useful Life Prediction under Corrupted Sensor Data

Ruonan Liu, Kai Zhang, 2023, Machines.

Interaction-Aware Graph Neural Networks for Fault Diagnosis of Complex Industrial Processes

S. Ding, Ruonan Liu, Qinghua Hu, 2021, IEEE Transactions on Neural Networks and Learning Systems.

Generative Status Estimation and Information Decoupling for Image Rain Removal

Xin Wang, Ruonan Liu, Renjie Zhang, 2022, NeurIPS.