Jun Wu - RankMe

59 papers Journal 55Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Multi-relational graph reinforcement learning for dynamic flexible job-shop scheduling under machine breakdowns. Appl. Soft Comput. Zhi Pang, Xinyu Li, Liang Gao, Xuxia Zhang, Jun Wu
2025	J	`jnl`	A Cross-Domain Online Diagnosis Framework Under Small Fault Sample. IEEE Trans. Instrum. Meas. Zuoshuang Chen, Dongdong Zhang, Zuoyi Chen, Jun Wu, Hong-Zhong Huang
2025	J	`jnl`	A Gradient Alignment Federated Domain Generalization Framework for Rotating Machinery Fault Diagnosis. IEEE Internet Things J. Zongzhen Ye, Jun Wu, Xuesong He, Weixiong Jiang
2025	J	`jnl`	Degradation-Aware Remaining Useful Life Prediction of Industrial Robot via Multiscale Temporal Memory Transformer Framework. Reliab. Eng. Syst. Saf. Zhan Gao, Chengjie Wang, Jun Wu, Yuanhang Wang, Weixiong Jiang, Tianjiao Dai
2025	J	`jnl`	Exemplar-free class incremental learning for rotating machinery fault diagnosis via adaptive prototype correction and separation network. Adv. Eng. Informatics Zongzhen Ye, Jun Wu, Xuesong He, Lixiang Wang, Weixiong Jiang
2025	J	`jnl`	FDFNet: Feature-decision dual fusion network for intelligent fault diagnosis of rotating machinery under varying speed conditions. Eng. Appl. Artif. Intell. Qi Deng, Zuoxiu Zhang, Xuyuan Tu, Zimuzhi Wang, Jun Wu
2025	J	`jnl`	Global attention residual graph contrastive learning network-based mechanical fault diagnosis under multi-domain scenarios. Knowl. Based Syst. Qiming Shu, Jun Wu, Lixiang Wang, Shutong Yang, Zongzhen Ye
2025	J	`jnl`	Health evaluation techniques towards rotating machinery: A systematic literature review and implementation guideline. Reliab. Eng. Syst. Saf. Weixiong Jiang, Jun Wu, Yifan Yang, Xinyu Li, Haiping Zhu
2025	J	`jnl`	Human-machine collaborative health estimation of industrial robot based on fuzzy self-attention network and manifold cluster. Knowl. Based Syst. Weixiong Jiang, Qi Deng, Jun Wu, Yan Zhou, Haiping Zhu
2025	J	`jnl`	Manifold transfer and ensemble filter strategy for axial piston pump fault diagnosis under varied pressure pulsation. Appl. Intell. Weixiong Jiang, Jun Wu, Zuoyi Chen, Haiping Zhu, Yaqiong Lv
2025	J	`jnl`	Multimodal data fusion-based intelligent fault diagnosis for ship rotating machinery: Status quo and perspectives. Eng. Appl. Artif. Intell. Yaqiong Lv, Jian Hao, Min Tang, Jun Wu
2025	J	`jnl`	Self-adaptive single and simultaneous fault diagnosis for rotating machinery via redefined signal quality indicator and parallel ensemble network. Appl. Soft Comput. Weixiong Jiang, Kaiwei Yu, Jun Wu, Tianjiao Dai, Haiping Zhu
2025	J	`jnl`	Unknown-class recognition adversarial network for open set domain adaptation fault diagnosis of rotating machinery. J. Intell. Manuf. Ke Wu, Wei Xu, Qiming Shu, WenJun Zhang, Xiaolong Cui, Jun Wu
2025	J	`jnl`	VSC-Net: Versatile spatiotemporal convolution network with multi-sensor signals for remaining useful life prediction of mechanical systems. Inf. Fusion Zhan Gao, Yumeng Lei, Jun Wu, Weixiong Jiang, Yuanhang Wang, Xiyuan Ye
2025	J	`jnl`	Zero-Sample fault diagnosis of rolling bearings via fault spectrum knowledge and autonomous contrastive learning. Expert Syst. Appl. Guoqiang Li, Meirong Wei, Defeng Wu, Yiwei Cheng, Jun Wu, Jin Yan
2025	J	`jnl`	Zero-faulty sample machinery fault detection via relation network with out-of-distribution data augmentation. Eng. Appl. Artif. Intell. Zuoyi Chen, Hong-Zhong Huang, Jun Wu, Yuanhang Wang
2024	J	`jnl`	Cross-domain intelligent diagnostics for rotating machinery using domain adaptive and adversarial networks. J. Ind. Inf. Integr. Kui Hu, Yiwei Cheng, Jun Wu, Haiping Zhu
2024	J	`jnl`	Deep Learning-Based Bearing Fault Diagnosis Using a Trusted Multiscale Quadratic Attention-Embedded Convolutional Neural Network. IEEE Trans. Instrum. Meas. Yuheng Tang, Chaoyong Zhang, Jianzhao Wu, Yang Xie, Weiming Shen, Jun Wu
2024	J	`jnl`	Health assessment of wind turbine gearbox via parallel ensemble and fuzzy derivation collaboration approach. Adv. Eng. Informatics Weixiong Jiang, Jun Wu, Chengjie Wang, Haiping Zhu, Xianbo Wang
2024	J	`jnl`	Multilayer Fused Correntropy Reprsenstation for Fault Diagnosis of Mechanical Equipment. Sensors Qi Deng, Guanhui Zhao, Weixiong Jiang, Jun Wu, Tianjiao Dai
2024	J	`jnl`	Multimodel Fusion Health Assessment for Multistate Industrial Robot via Fuzzy Deep Residual Shrinkage Network and Versatile Cluster. IEEE Trans. Fuzzy Syst. Weixiong Jiang, Jun Wu, Haiping Zhu, Liang Gao
2024	J	`jnl`	Nonlinear slow-varying dynamics-assisted temporal graph transformer network for remaining useful life prediction. Reliab. Eng. Syst. Saf. Zhan Gao, Weixiong Jiang, Jun Wu, Tianjiao Dai, Haiping Zhu
2024	J	`jnl`	Optimal transport strategy-based meta-attention network for fault diagnosis of rotating machinery with zero sample. Appl. Intell. Ke Wu, Kaiwei Yu, Chong Chen, Jun Wu, Yan Liu
2023	J	`jnl`	Deep Attention Relation Network: A Zero-Shot Learning Method for Bearing Fault Diagnosis Under Unknown Domains. IEEE Trans. Reliab. Zuoyi Chen, Jun Wu, Chao Deng, Xiaoqi Wang, Yuanhang Wang
2023	J	`jnl`	Deep Bidirectional Recurrent Neural Networks Ensemble for Remaining Useful Life Prediction of Aircraft Engine. IEEE Trans. Cybern. Kui Hu, Yiwei Cheng, Jun Wu, Haiping Zhu, Xinyu Shao
2023	J	`jnl`	Deep convolutional transfer learning-based structural damage detection with domain adaptation. Appl. Intell. Zuoyi Chen, Chao Wang, Jun Wu, Chao Deng, Yuanhang Wang
2023	J	`jnl`	Deep transfer learning-based damage detection of composite structures by fusing monitoring data with physical mechanism. Eng. Appl. Artif. Intell. Cheng Liu, Xuebing Xu, Jun Wu, Haiping Zhu, Chao Wang
2023	J	`jnl`	Hybrid scheme through read-first-LSTM encoder-decoder and broad learning system for bearings degradation monitoring and remaining useful life estimation. Adv. Eng. Informatics Yongmeng Zhu, Jiechang Wu, Xing Liu, Jun Wu, Kai Chai, Gang Hao, Shuyong Liu
2023	J	`jnl`	Relational Conduction Graph Network for Intelligent Fault Diagnosis of Rotating Machines Under Small Fault Samples. IEEE Trans. Instrum. Meas. Zuoyi Chen, Xiaoqi Wang, Jun Wu, Chao Deng, Daode Zhang
2023	J	`jnl`	Residual shrinkage transformer relation network for intelligent fault detection of industrial robot with zero-fault samples. Knowl. Based Syst. Zuoyi Chen, Ke Wu, Jun Wu, Chao Deng, Yuanhang Wang
2022	J	`jnl`	A deep learning-based two-stage prognostic approach for remaining useful life of rolling bearing. Appl. Intell. Yiwei Cheng, Kui Hu, Jun Wu, Haiping Zhu, Carman K. M. Lee
2022	J	`jnl`	Dimensionality reduce-based for remaining useful life prediction of machining tools with multisensor fusion. Reliab. Eng. Syst. Saf. Yongmeng Zhu, Jiechang Wu, Jun Wu, Shuyong Liu
2022	J	`jnl`	Health indicator construction for degradation assessment by embedded LSTM-CNN autoencoder and growing self-organized map. Knowl. Based Syst. Zhipeng Chen, Haiping Zhu, Jun Wu, Liangzhi Fan
2022	J	`jnl`	Multi-dimensional recurrent neural network for remaining useful life prediction under variable operating conditions and multiple fault modes. Appl. Soft Comput. Yiwei Cheng, Chao Wang, Jun Wu, Haiping Zhu, Carman K. M. Lee
2022	—	`conf`	Multi-mode signals driven damage detection for composite structures by ensemble generalized multiclass support vector machine. ICPHM Zhipeng Chen, Haiping Zhu, Liangzhi Fan, Zheng Zhang, Jun Wu
2022	J	`jnl`	Wide Residual Relation Network-Based Intelligent Fault Diagnosis of Rotating Machines with Small Samples. Sensors Zuoyi Chen, Yuanhang Wang, Jun Wu, Chao Deng, Weixiong Jiang
2021	J	`jnl`	A convolutional neural network based degradation indicator construction and health prognosis using bidirectional long short-term memory network for rolling bearings. Adv. Eng. Informatics Yiwei Cheng, Kui Hu, Jun Wu, Haiping Zhu, Xinyu Shao
2021	J	`jnl`	Convolutional Neural Network-Based Bayesian Gaussian Mixture for Intelligent Fault Diagnosis of Rotating Machinery. IEEE Trans. Instrum. Meas. Guoqiang Li, Jun Wu, Chao Deng, Zuoyi Chen, Xinyu Shao
2021	J	`jnl`	Intelligent fault diagnosis of rotating machinery based on continuous wavelet transform-local binary convolutional neural network. Knowl. Based Syst. Yiwei Cheng, Manxi Lin, Jun Wu, Haiping Zhu, Xinyu Shao
2021	J	`jnl`	Remaining Useful Life Prognosis Based on Ensemble Long Short-Term Memory Neural Network. IEEE Trans. Instrum. Meas. Yiwei Cheng, Jun Wu, Haiping Zhu, Siu Wing Or, Xinyu Shao
2021	J	`jnl`	Sensor data-driven structural damage detection based on deep convolutional neural networks and continuous wavelet transform. Appl. Intell. Zuoyi Chen, Yanzhi Wang, Jun Wu, Chao Deng, Kui Hu
2020	J	`jnl`	Ensemble extreme learning machines for compound-fault diagnosis of rotating machinery. Knowl. Based Syst. Xian-Bo Wang, Xiaoyuan Zhang, Zhen Li, Jun Wu
2020	J	`jnl`	Intelligent Fault Diagnosis via Semisupervised Generative Adversarial Nets and Wavelet Transform. IEEE Trans. Instrum. Meas. Pengfei Liang, Chao Deng, Jun Wu, Guoqiang Li, Zhixin Yang, Yuanhang Wang
2020	J	`jnl`	Single and simultaneous fault diagnosis of gearbox via a semi-supervised and high-accuracy adversarial learning framework. Knowl. Based Syst. Pengfei Liang, Chao Deng, Jun Wu, Zhixin Yang, Jinxuan Zhu, Zihan Zhang
2020	J	`jnl`	Stacked pruning sparse denoising autoencoder based intelligent fault diagnosis of rolling bearings. Appl. Soft Comput. Haiping Zhu, Jiaxin Cheng, Cong Zhang, Jun Wu, Xinyu Shao
2019	J	`jnl`	Compound Fault Diagnosis of Gearboxes via Multi-label Convolutional Neural Network and Wavelet Transform. Comput. Ind. Pengfei Liang, Chao Deng, Jun Wu, Zhixin Yang, Jinxuan Zhu, Zihan Zhang
2019	J	`jnl`	Degradation Data-Driven Time-To-Failure Prognostics Approach for Rolling Element Bearings in Electrical Machines. IEEE Trans. Ind. Electron. Jun Wu, Chaoyong Wu, Shuai Cao, Siu Wing Or, Chao Deng, Xinyu Shao
2019	J	`jnl`	Health Degradation Monitoring of Rolling Element Bearing by Growing Self- Organizing Mapping and Clustered Support Vector Machine. IEEE Access Yiwei Cheng, Haiping Zhu, Kui Hu, Jun Wu, Xinyu Shao, Yuanhang Wang
2019	—	`conf`	Intelligent Fault Diagnosis of Rolling Element Bearing Based on Convolutional Neural Network and Frequency Spectrograms. ICPHM Pengfei Liang, Chao Deng, Jun Wu, Zhixin Yang, Jinxuan Zhu
2019	J	`jnl`	Machine Health Monitoring Using Adaptive Kernel Spectral Clustering and Deep Long Short-Term Memory Recurrent Neural Networks. IEEE Trans. Ind. Informatics Yiwei Cheng, Haiping Zhu, Jun Wu, Xinyu Shao
2019	J	`jnl`	Multisensory Data-Driven Health Degradation Monitoring of Machining Tools by Generalized Multiclass Support Vector Machine. IEEE Access Yiwei Cheng, Haiping Zhu, Kui Hu, Jun Wu, Xinyu Shao, Yuanhang Wang
2019	J	`jnl`	Sensor Data-Driven Bearing Fault Diagnosis Based on Deep Convolutional Neural Networks and S-Transform. Sensors Guoqiang Li, Chao Deng, Jun Wu, Xuebing Xu, Xinyu Shao, Yuanhang Wang
2018	J	`jnl`	An Economical Optimization Model of Non-Periodic Maintenance Decision for Deteriorating System. IEEE Access Cong Zhang, Haiping Zhu, Jun Wu, Yiwei Cheng, Yuhao Deng, Cheng Liu
2018	J	`jnl`	Multi-sensor information fusion for remaining useful life prediction of machining tools by adaptive network based fuzzy inference system. Appl. Soft Comput. Jun Wu, Yongheng Su, Yiwei Cheng, Xinyu Shao, Chao Deng, Cheng Liu
2018	J	`jnl`	Selective maintenance scheduling under stochastic maintenance quality with multiple maintenance actions. Int. J. Prod. Res. Chaoqun Duan, Chao Deng, Abolfazl Gharaei, Jun Wu, Bingran Wang
2018	—	`conf`	Study on Health Assessment and Residual Useful Life Prediction of Wind Turbine. AIM Chao Deng, Chaoqun Duan, Pengfei Liang, Jun Wu
2017	J	`jnl`	Design a degradation condition monitoring system scheme for rolling bearing using EMD and PCA. Ind. Manag. Data Syst. Jun Wu, Chaoyong Wu, Yaqiong Lv, Chao Deng, Xinyu Shao
2015	J	`jnl`	Failure time prediction for mechanical device based on the degradation sequence. J. Intell. Manuf. Yuanhang Wang, Chao Deng, Jun Wu, Yao Xiong
2008	—	`conf`	Reliability Assessment of Machining Accuracy on Support Vector Machine. ICIRA (2) Chao Deng, Jun Wu, Xinyu Shao