Jun Wu

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 37

Top Topics

Transfer Learning

Fault Diagnosis

Top Venues

IEEE Trans. Instrum. Meas.

Knowl. Based Syst.

Adv. Eng. Informatics

Publications

Weixiong Jiang, Jun Wu, Haiping Zhu, Liang Gao
Multimodel Fusion Health Assessment for Multistate Industrial Robot via Fuzzy Deep Residual Shrinkage Network and Versatile Cluster. IEEE Trans. Fuzzy Syst. 32 (8) (2024)
Ke Wu, Kaiwei Yu, Chong Chen, Jun Wu, Yan Liu
Optimal transport strategy-based meta-attention network for fault diagnosis of rotating machinery with zero sample. Appl. Intell. 54 (9-10) (2024)
Zhan Gao, Weixiong Jiang, Jun Wu, Tianjiao Dai, Haiping Zhu
Nonlinear slow-varying dynamics-assisted temporal graph transformer network for remaining useful life prediction. Reliab. Eng. Syst. Saf. 248 (2024)
Yuheng Tang, Chaoyong Zhang, Jianzhao Wu, Yang Xie, Weiming Shen, Jun Wu
Deep Learning-Based Bearing Fault Diagnosis Using a Trusted Multiscale Quadratic Attention-Embedded Convolutional Neural Network. IEEE Trans. Instrum. Meas. 73 (2024)
Weixiong Jiang, Jun Wu, Chengjie Wang, Haiping Zhu, Xianbo Wang
Health assessment of wind turbine gearbox via parallel ensemble and fuzzy derivation collaboration approach. Adv. Eng. Informatics 62 (2024)
Zuoyi Chen, Chao Wang, Jun Wu, Chao Deng, Yuanhang Wang
Deep convolutional transfer learning-based structural damage detection with domain adaptation. Appl. Intell. 53 (5) (2023)
Yongmeng Zhu, Jiechang Wu, Xing Liu, Jun Wu, Kai Chai, Gang Hao, Shuyong Liu
Hybrid scheme through read-first-LSTM encoder-decoder and broad learning system for bearings degradation monitoring and remaining useful life estimation. Adv. Eng. Informatics 56 (2023)
Zuoyi Chen, Jun Wu, Chao Deng, Xiaoqi Wang, Yuanhang Wang
Deep Attention Relation Network: A Zero-Shot Learning Method for Bearing Fault Diagnosis Under Unknown Domains. IEEE Trans. Reliab. 72 (1) (2023)
Kui Hu, Yiwei Cheng, Jun Wu, Haiping Zhu, Xinyu Shao
Deep Bidirectional Recurrent Neural Networks Ensemble for Remaining Useful Life Prediction of Aircraft Engine. IEEE Trans. Cybern. 53 (4) (2023)
Cheng Liu, Xuebing Xu, Jun Wu, Haiping Zhu, Chao Wang
Deep transfer learning-based damage detection of composite structures by fusing monitoring data with physical mechanism. Eng. Appl. Artif. Intell. 123 (Part A) (2023)
Zuoyi Chen, Ke Wu, Jun Wu, Chao Deng, Yuanhang Wang
Residual shrinkage transformer relation network for intelligent fault detection of industrial robot with zero-fault samples. Knowl. Based Syst. 268 (2023)
Zuoyi Chen, Xiaoqi Wang, Jun Wu, Chao Deng, Daode Zhang
Relational Conduction Graph Network for Intelligent Fault Diagnosis of Rotating Machines Under Small Fault Samples. IEEE Trans. Instrum. Meas. 72 (2023)
Zhipeng Chen, Haiping Zhu, Liangzhi Fan, Zheng Zhang, Jun Wu
Multi-mode signals driven damage detection for composite structures by ensemble generalized multiclass support vector machine. ICPHM (2022)
Yiwei Cheng, Kui Hu, Jun Wu, Haiping Zhu, Carman K. M. Lee
A deep learning-based two-stage prognostic approach for remaining useful life of rolling bearing. Appl. Intell. 52 (5) (2022)
Zhipeng Chen, Haiping Zhu, Jun Wu, Liangzhi Fan
Health indicator construction for degradation assessment by embedded LSTM-CNN autoencoder and growing self-organized map. Knowl. Based Syst. 252 (2022)
Zuoyi Chen, Yuanhang Wang, Jun Wu, Chao Deng, Weixiong Jiang
Wide Residual Relation Network-Based Intelligent Fault Diagnosis of Rotating Machines with Small Samples. Sensors 22 (11) (2022)
Yiwei Cheng, Chao Wang, Jun Wu, Haiping Zhu, Carman K. M. Lee
Multi-dimensional recurrent neural network for remaining useful life prediction under variable operating conditions and multiple fault modes. Appl. Soft Comput. 118 (2022)
Yiwei Cheng, Manxi Lin, Jun Wu, Haiping Zhu, Xinyu Shao
Intelligent fault diagnosis of rotating machinery based on continuous wavelet transform-local binary convolutional neural network. Knowl. Based Syst. 216 (2021)
Yiwei Cheng, Kui Hu, Jun Wu, Haiping Zhu, Xinyu Shao
A convolutional neural network based degradation indicator construction and health prognosis using bidirectional long short-term memory network for rolling bearings. Adv. Eng. Informatics 48 (2021)
Guoqiang Li, Jun Wu, Chao Deng, Zuoyi Chen, Xinyu Shao
Convolutional Neural Network-Based Bayesian Gaussian Mixture for Intelligent Fault Diagnosis of Rotating Machinery. IEEE Trans. Instrum. Meas. 70 (2021)
Yiwei Cheng, Jun Wu, Haiping Zhu, Siu Wing Or, Xinyu Shao
Remaining Useful Life Prognosis Based on Ensemble Long Short-Term Memory Neural Network. IEEE Trans. Instrum. Meas. 70 (2021)
Zuoyi Chen, Yanzhi Wang, Jun Wu, Chao Deng, Kui Hu
Sensor data-driven structural damage detection based on deep convolutional neural networks and continuous wavelet transform. Appl. Intell. 51 (8) (2021)
Haiping Zhu, Jiaxin Cheng, Cong Zhang, Jun Wu, Xinyu Shao
Stacked pruning sparse denoising autoencoder based intelligent fault diagnosis of rolling bearings. Appl. Soft Comput. 88 (2020)
Pengfei Liang, Chao Deng, Jun Wu, Guoqiang Li, Zhixin Yang, Yuanhang Wang
Intelligent Fault Diagnosis via Semisupervised Generative Adversarial Nets and Wavelet Transform. IEEE Trans. Instrum. Meas. 69 (7) (2020)
Pengfei Liang, Chao Deng, Jun Wu, Zhixin Yang, Jinxuan Zhu, Zihan Zhang
Single and simultaneous fault diagnosis of gearbox via a semi-supervised and high-accuracy adversarial learning framework. Knowl. Based Syst. 198 (2020)
Yiwei Cheng, Haiping Zhu, Kui Hu, Jun Wu, Xinyu Shao, Yuanhang Wang
Multisensory Data-Driven Health Degradation Monitoring of Machining Tools by Generalized Multiclass Support Vector Machine. IEEE Access 7 (2019)
Pengfei Liang, Chao Deng, Jun Wu, Zhixin Yang, Jinxuan Zhu
Intelligent Fault Diagnosis of Rolling Element Bearing Based on Convolutional Neural Network and Frequency Spectrograms. ICPHM (2019)
Yiwei Cheng, Haiping Zhu, Jun Wu, Xinyu Shao
Machine Health Monitoring Using Adaptive Kernel Spectral Clustering and Deep Long Short-Term Memory Recurrent Neural Networks. IEEE Trans. Ind. Informatics 15 (2) (2019)
Jun Wu, Chaoyong Wu, Shuai Cao, Siu Wing Or, Chao Deng, Xinyu Shao
Degradation Data-Driven Time-To-Failure Prognostics Approach for Rolling Element Bearings in Electrical Machines. IEEE Trans. Ind. Electron. 66 (1) (2019)
Guoqiang Li, Chao Deng, Jun Wu, Xuebing Xu, Xinyu Shao, Yuanhang Wang
Sensor Data-Driven Bearing Fault Diagnosis Based on Deep Convolutional Neural Networks and S-Transform. Sensors 19 (12) (2019)
Pengfei Liang, Chao Deng, Jun Wu, Zhixin Yang, Jinxuan Zhu, Zihan Zhang
Compound Fault Diagnosis of Gearboxes via Multi-label Convolutional Neural Network and Wavelet Transform. Comput. Ind. 113 (2019)
Yiwei Cheng, Haiping Zhu, Kui Hu, Jun Wu, Xinyu Shao, Yuanhang Wang
Health Degradation Monitoring of Rolling Element Bearing by Growing Self- Organizing Mapping and Clustered Support Vector Machine. IEEE Access 7 (2019)
Cong Zhang, Haiping Zhu, Jun Wu, Yiwei Cheng, Yuhao Deng, Cheng Liu
An Economical Optimization Model of Non-Periodic Maintenance Decision for Deteriorating System. IEEE Access 6 (2018)
Chao Deng, Chaoqun Duan, Pengfei Liang, Jun Wu
Study on Health Assessment and Residual Useful Life Prediction of Wind Turbine. AIM (2018)
Jun Wu, Yongheng Su, Yiwei Cheng, Xinyu Shao, Chao Deng, Cheng Liu
Multi-sensor information fusion for remaining useful life prediction of machining tools by adaptive network based fuzzy inference system. Appl. Soft Comput. 68 (2018)
Chaoqun Duan, Chao Deng, Abolfazl Gharaei, Jun Wu, Bingran Wang
Selective maintenance scheduling under stochastic maintenance quality with multiple maintenance actions. Int. J. Prod. Res. 56 (23) (2018)
Jun Wu, Chaoyong Wu, Yaqiong Lv, Chao Deng, Xinyu Shao
Design a degradation condition monitoring system scheme for rolling bearing using EMD and PCA. Ind. Manag. Data Syst. 117 (4) (2017)
Yuanhang Wang, Chao Deng, Jun Wu, Yao Xiong
Failure time prediction for mechanical device based on the degradation sequence. J. Intell. Manuf. 26 (6) (2015)
Chao Deng, Jun Wu, Xinyu Shao
Reliability Assessment of Machining Accuracy on Support Vector Machine. ICIRA (2) (2008)