G. Wen

发表

Prediction Method of Machinery Condition Based on Recurrent Neural Networks Models

Xining Zhang, G. Wen, 2004 .

A Novel Approach of Label Construction for Predicting Remaining Useful Life of Machinery

Xuefeng Chen, G. Wen, Hailong Lin, 2021, Shock and Vibration.

A novel bearing fault diagnosis method based on 2D image representation and transfer learning-convolutional neural network

Cong Wang, Ping Ma, Guangrui Wen, 2019, Measurement Science and Technology.

An improved independent component analysis algorithm and its application in preprocessing of bearing sounds

L. Qu, Xining Zhang, G. Wen, 2006 .

901. A new time synchronous average method for variable speed operating condition gearbox

Xining Zhang, G. Wen, Tingting Wu, 2012 .

Machine performance assessment based on integrated signal redundancy and bootstrap technique

G. Wen, Tingting Wu, Xiaoni Dong, 2012 .

Selection of Arc Spectrum Features and Defect Recognition in GTAW Based on Random Forest

Zhe Yang, Zhifen Zhang, Guangrui Wen, 2019, Transactions on Intelligent Welding Manufacturing.

Intelligent Fault Diagnosis with Multi-scale Convolutional Dense Network

Zhike Peng, Xuefeng Chen, G. Wen, 2022, Journal of Physics: Conference Series.

Construction of health indicators for condition monitoring of rotating machinery: A review of the research

G. Wen, Shuzhi Dong, Zihao Lei, 2022, Expert Syst. Appl..

An adaptive method based on fractional empirical wavelet transform and its application in rotating machinery fault diagnosis

Zhifen Zhang, Guangrui Wen, Yang Zhang, 2019, Measurement Science and Technology.

In-Situ Monitoring of Laser Additive Manufacturing for Al7075 Alloy Using Emission Spectroscopy and Plume Imaging

Guangrui Wen, Jyoti Mazumder, Zhifen Zhang, 2021, IEEE Access.

Fractional iterative variational mode decomposition and its application in fault diagnosis of rotating machinery

Dan Liu, Guangrui Wen, Yang Zhang, 2019, Measurement Science and Technology.

Observer-based output feedback control for networked systems with dual-channel event-triggered sampling and quantization

G. Wen, Zhifen Zhang, Pengtao Song, 2022, J. Frankl. Inst..

Online Evaluation of Surface Hardness for Aluminum Alloy in LSP Using Modal Acoustic Emission

G. Wen, Weifeng He, Zhifen Zhang, 2022, IEEE Transactions on Instrumentation and Measurement.

The VMD-scale space based hoyergram and its application in rolling bearing fault diagnosis

Zhifen Zhang, Guangrui Wen, Wenjie Shi, 2020, Measurement Science and Technology.

Frequency Phase Space Empirical Wavelet Transform for Rolling Bearings Fault Diagnosis

Guangrui Wen, Zhifen Zhang, Lin Liang, 2019, IEEE Access.

A novel denoising strategy based on sparse modeling for rotating machinery fault detection under time-varying operating conditions

Xuefeng Chen, G. Wen, Zihao Lei, 2023, Measurement.

Sparse dictionary analysis via structure frequency response spectrum model for weak bearing fault diagnosis

Guangrui Wen, Shuzhi Dong, Haoxuan Zhou, 2021 .

Frequency Hoyer attention based convolutional neural network for remaining useful life prediction of machinery

Xuefeng Chen, G. Wen, Shuzhi Dong, 2021, Measurement Science and Technology.

Application of unsupervised linear discriminant analysis for condition monitoring of rotating machinery

Guangrui Wen, Bin Xu, Ruxin Zhang, 2017, 2017 9th International Conference on Modelling, Identification and Control (ICMIC).

An efficient optimized independent component analysis method based on genetic algorithm

Lin Liang, Guangrui Wen, Xiaoni Dong, 2013 .

Partially Blind Source Separation of the Diagnostic Signals with Prior Knowledge

Liangsheng Qu, Guangrui Wen, Haijun Zhang, 2001 .

A Rapid Response Intelligent Diagnosis Network Using Radial Basis Function Network

Liangsheng Qu, Guangrui Wen, Xining Zhang, 2005, ISNN.

Quality monitoring in additive manufacturing using emission spectroscopy and unsupervised deep learning

J. Mazumder, G. Wen, Wenjing Ren, 2021, Materials and Manufacturing Processes.

XGBoost-based on-line prediction of seam tensile strength for Al-Li alloy in laser welding: Experiment study and modelling

G. Wen, Yiming Huang, Wenjing Ren, 2021 .

Design and application of unsupervised convolutional neural networks integrated with deep belief networks for mechanical fault diagnosis

Zhifen Zhang, Guangrui Wen, Shuzhi Dong, 2017, 2017 Prognostics and System Health Management Conference (PHM-Harbin).

EEMD Independent Extraction for Mixing Features of Rotating Machinery Reconstructed in Phase Space

Cheng Jiang, Guangrui Wen, Zaichao Ma, 2015, Sensors.

Synchroextracting chirplet transform for accurate IF estimate and perfect signal reconstruction

Xiangxiang Zhu, Zhuosheng Zhang, Guangrui Wen, 2019, Digit. Signal Process..

Multiple squeezes from adaptive chirplet transform

Xiangxiang Zhu, Zhuosheng Zhang, Guangrui Wen, 2019, Signal Process..

On-line evaluation and monitoring technology for material surface integrity in laser shock peening - A review

G. Wen, Z. Hu, Weifeng He, 2022, Journal of Materials Processing Technology.

A New Time Series Forecasting Approach Based on Bayesian Least Risk Principle

Guangrui Wen, Xining Zhang, Xining Zhang, 2006, ICNC.

An Improved Neural Networks Prediction Model and Its Application in Supply Chain

Guangrui Wen, Xiaoni Dong, G. Wen, 2006 .

A deep sequence multi-distribution adversarial model for bearing abnormal condition detection

Guangrui Wen, Xuefeng Chen, Xin Huang, 2021 .

Fuzzy H∞ robust control for T-S aero-engine systems with network-induced factors under round-robin-like protocol

G. Wen, Jingbo Peng, Zhifen Zhang, 2023, Aerospace Science and Technology.

A Hybrid Denoising Model Using Deep Learning and Sparse Representation with Application in Bearing Weak Fault Diagnosis

Xuefeng Chen, G. Wen, Xin Zhou, 2021, Measurement.

A Novel Convolutional Neural Network Based on Time–Frequency Spectrogram of Arc Sound and Its Application on GTAW Penetration Classification

Zhifen Zhang, Guangrui Wen, Wenjing Ren, 2021, IEEE Transactions on Industrial Informatics.

Real-time seam defect identification for Al alloys in robotic arc welding using optical spectroscopy and integrating learning

Zhifen Zhang, Guangrui Wen, Wenjing Ren, 2020 .

Weld image deep learning-based on-line defects detection using convolutional neural networks for Al alloy in robotic arc welding

Guangrui Wen, Shanben Chen, Zhifen Zhang, 2019, Journal of Manufacturing Processes.

Random forest-based real-time defect detection of Al alloy in robotic arc welding using optical spectrum

Guangrui Wen, Zhifen Zhang, Wenjing Ren, 2019, Journal of Manufacturing Processes.

Study of inner porosity detection for Al-Mg alloy in arc welding through on-line optical spectroscopy: Correlation and feature reduction

Guangrui Wen, Linjie Zhang, Zhifen Zhang, 2019, Journal of Manufacturing Processes.

On-Line Monitoring and Defects Detection of Robotic Arc Welding: A Review and Future Challenges

Zhifen Zhang, Shanben Chen, Guangrui Wen, 2019, Transactions on Intelligent Welding Manufacturing.

Porosity defect detection based on FastICA-RBF during pulsed TIG welding process

Zheng Chen, Zhifen Zhang, Guangrui Wen, 2017, 2017 13th IEEE Conference on Automation Science and Engineering (CASE).

Multisensory data fusion technique and its application to welding process monitoring

Zhifen Zhang, Guangrui Wen, Shan-Ben Chen, 2016, 2016 IEEE Workshop on Advanced Robotics and its Social Impacts (ARSO).

A Multisource Dense Adaptation Adversarial Network for Fault Diagnosis of Machinery

Ruqiang Yan, Guangrui Wen, Xuefeng Chen, 2021, IEEE Transactions on Industrial Electronics.

Real-Time Measurement of Seam Strength Using Optical Spectroscopy for Al–Li Alloy in Laser Beam Welding

G. Wen, Zihao Lei, Yiming Huang, 2021, IEEE Transactions on Instrumentation and Measurement.

Decoupling the thermal and non-thermal effects of discharge C-rate on the capacity fade of lithium-ion batteries

Jonghoon Kim, G. Wen, S. Choe, 2021 .

Surface stress monitoring of laser shock peening using AE time-scale texture image and multi-scale blueprint separable convolutional networks with attention mechanism

G. Wen, Weifeng He, Jie Wang, 2023, Expert Syst. Appl..

A fault feature classification method for Rotor startup process based on FRFT-PCA

Zhifen Zhang, Guangrui Wen, Xiaowei Du, 2016, 2016 13th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI).

Research on rotor startup condition estimation by using FRFT combined with double PCA

Guangrui Wen, Yanhui Ren, Zaichao Ma, 2015, 2015 IEEE International Conference on Mechatronics and Automation (ICMA).

Memory Residual Regression Autoencoder for Bearing Fault Detection

Guangrui Wen, Xuefeng Chen, Shuzhi Dong, 2021, IEEE Transactions on Instrumentation and Measurement.

Audible Sound-Based Intelligent Evaluation for Aluminum Alloy in Robotic Pulsed GTAW: Mechanism, Feature Selection, and Defect Detection

Zhifen Zhang, Shanben Chen, Guangrui Wen, 2018, IEEE Transactions on Industrial Informatics.

An Intelligent Fault Diagnosis Method Based on Domain Adaptation and Its Application for Bearings Under Polytropic Working Conditions

Guangrui Wen, Xuefeng Chen, Shuzhi Dong, 2021, IEEE Transactions on Instrumentation and Measurement.

Convolution enabled transformer via random contrastive regularization for rotating machinery diagnosis under time-varying working conditions

Xuefeng Chen, G. Wen, Shuzhi Dong, 2022, Mechanical Systems and Signal Processing.

Application of Wavelet Packet Analysis for Fault Detection in Electro-Mechanical Systems Based on Torsional Vibration Measurement

Liangsheng Qu, Li Xueying, G. Wen, 2003 .

Experimental Study to Investigate the Effects of Temperature Rise during Discharge on Li-ion Battery Degradation

G. Wen, Bo Xu, 2021, IOP Conference Series: Earth and Environmental Science.

Protection Devices in Commercial 18650 Lithium-Ion Batteries

Guangrui Wen, Lingxi Kong, Bin Xu, 2021, IEEE Access.

Wear particle classification using genetic programming evolved features

Zhifen Zhang, Guangrui Wen, Chen Feng, 2018 .

Genetic programming-based classification of ferrograph wear particles

Bin Xu, Zhifen Zhang, Guangrui Wen, 2016, 2016 13th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI).