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Jun Wu 0012
Person information
- affiliation: Huazhong University of Science and Technology, School of Naval Architecture and Ocean Engineering, Wuhan, China
- affiliation (PhD 2008): Huazhong University of Science and Technology, Department of Mechanical Engineering, Wuhan, China
Other persons with the same name
- Jun Wu — disambiguation page
- Jun Wu 0001
— Shanghai Jiao Tong University, Shanghai Key Laboratory of Integrated Administration Technologies for Information Security, China (and 1 more)
- Jun Wu 0002 — Southeast University, Department of Computer Science and Engineering, Nanjing, China
- Jun Wu 0003
- Jun Wu 0004
- Jun Wu 0005
- Jun Wu 0006
- Jun Wu 0007
- Jun Wu 0008 — Dalian University of Technology, Faculty of Electronic Information and Electrical Engineering, China
- Jun Wu 0009 — Chungnam National University, Daejeon, Korea
- Jun Wu 0010
- Jun Wu 0011
- Jun Wu 0013 — Zhejiang Medical College, Network Center, Hangzhou, China
- Jun Wu 0014
- Jun Wu 0015 — Nanjing University of Finance and Economics, Jiangsu Provincial Key Laboratory of E-Business, Nanjing, China (and 3 more)
- Jun Wu 0016
- Jun Wu 0017
- Jun Wu 0018
- Jun Wu 0019
- Jun Wu 0020
- Jun Wu 0021
- Jun Wu 0022 — Northwestern Polytechnical University, School of Electronics and Information, Xi'an, China
- Jun Wu 0023
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2020 – today
- 2024
- [j38]Weixiong Jiang
Health assessment of wind turbine gearbox via parallel ensemble and fuzzy derivation collaboration approach. Adv. Eng. Informatics 62: 102576 (2024) - [j37]Ke Wu, Kaiwei Yu, Chong Chen, Jun Wu
Optimal transport strategy-based meta-attention network for fault diagnosis of rotating machinery with zero sample. Appl. Intell. 54(9-10): 6799-6815 (2024) - [j36]Zhan Gao, Weixiong Jiang
Nonlinear slow-varying dynamics-assisted temporal graph transformer network for remaining useful life prediction. Reliab. Eng. Syst. Saf. 248: 110162 (2024) - [j35]Qi Deng
Multilayer Fused Correntropy Reprsenstation for Fault Diagnosis of Mechanical Equipment. Sensors 24(18): 6142 (2024) - [j34]Weixiong Jiang
Multimodel Fusion Health Assessment for Multistate Industrial Robot via Fuzzy Deep Residual Shrinkage Network and Versatile Cluster. IEEE Trans. Fuzzy Syst. 32(8): 4735-4746 (2024) - [j33]Yuheng Tang
Deep Learning-Based Bearing Fault Diagnosis Using a Trusted Multiscale Quadratic Attention-Embedded Convolutional Neural Network. IEEE Trans. Instrum. Meas. 73: 1-15 (2024) - 2023
- [j32]Yongmeng Zhu
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: 102014 (2023) - [j31]Zuoyi Chen
Deep convolutional transfer learning-based structural damage detection with domain adaptation. Appl. Intell. 53(5): 5085-5099 (2023) - [j30]Cheng Liu
Deep transfer learning-based damage detection of composite structures by fusing monitoring data with physical mechanism. Eng. Appl. Artif. Intell. 123(Part A): 106245 (2023) - [j29]Zuoyi Chen
Residual shrinkage transformer relation network for intelligent fault detection of industrial robot with zero-fault samples. Knowl. Based Syst. 268: 110452 (2023) - [j28]Kui Hu
Deep Bidirectional Recurrent Neural Networks Ensemble for Remaining Useful Life Prediction of Aircraft Engine. IEEE Trans. Cybern. 53(4): 2531-2543 (2023) - [j27]Zuoyi Chen
Relational Conduction Graph Network for Intelligent Fault Diagnosis of Rotating Machines Under Small Fault Samples. IEEE Trans. Instrum. Meas. 72: 1-11 (2023) - [j26]Zuoyi Chen
Deep Attention Relation Network: A Zero-Shot Learning Method for Bearing Fault Diagnosis Under Unknown Domains. IEEE Trans. Reliab. 72(1): 79-89 (2023) - 2022
- [j25]Yiwei Cheng
A deep learning-based two-stage prognostic approach for remaining useful life of rolling bearing. Appl. Intell. 52(5): 5880-5895 (2022) - [j24]Yiwei Cheng
Multi-dimensional recurrent neural network for remaining useful life prediction under variable operating conditions and multiple fault modes. Appl. Soft Comput. 118: 108507 (2022) - [j23]Zhipeng Chen, Haiping Zhu, Jun Wu
Health indicator construction for degradation assessment by embedded LSTM-CNN autoencoder and growing self-organized map. Knowl. Based Syst. 252: 109399 (2022) - [j22]Yongmeng Zhu
Dimensionality reduce-based for remaining useful life prediction of machining tools with multisensor fusion. Reliab. Eng. Syst. Saf. 218(Part): 108179 (2022) - [j21]Zuoyi Chen
Wide Residual Relation Network-Based Intelligent Fault Diagnosis of Rotating Machines with Small Samples. Sensors 22(11): 4161 (2022) - [c4]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: 183-187 - 2021
- [j20]Yiwei Cheng
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: 101247 (2021) - [j19]Zuoyi Chen
Sensor data-driven structural damage detection based on deep convolutional neural networks and continuous wavelet transform. Appl. Intell. 51(8): 5598-5609 (2021) - [j18]Yiwei Cheng
Intelligent fault diagnosis of rotating machinery based on continuous wavelet transform-local binary convolutional neural network. Knowl. Based Syst. 216: 106796 (2021) - [j17]Yiwei Cheng
Remaining Useful Life Prognosis Based on Ensemble Long Short-Term Memory Neural Network. IEEE Trans. Instrum. Meas. 70: 1-12 (2021) - [j16]Guoqiang Li
Convolutional Neural Network-Based Bayesian Gaussian Mixture for Intelligent Fault Diagnosis of Rotating Machinery. IEEE Trans. Instrum. Meas. 70: 1-10 (2021) - 2020
- [j15]Haiping Zhu
Stacked pruning sparse denoising autoencoder based intelligent fault diagnosis of rolling bearings. Appl. Soft Comput. 88: 106060 (2020) - [j14]Xian-Bo Wang
Ensemble extreme learning machines for compound-fault diagnosis of rotating machinery. Knowl. Based Syst. 188 (2020) - [j13]Pengfei Liang
Single and simultaneous fault diagnosis of gearbox via a semi-supervised and high-accuracy adversarial learning framework. Knowl. Based Syst. 198: 105895 (2020) - [j12]Pengfei Liang
Intelligent Fault Diagnosis via Semisupervised Generative Adversarial Nets and Wavelet Transform. IEEE Trans. Instrum. Meas. 69(7): 4659-4671 (2020)
2010 – 2019
- 2019
- [j11]Yiwei Cheng
Multisensory Data-Driven Health Degradation Monitoring of Machining Tools by Generalized Multiclass Support Vector Machine. IEEE Access 7: 47102-47113 (2019) - [j10]Yiwei Cheng
Health Degradation Monitoring of Rolling Element Bearing by Growing Self- Organizing Mapping and Clustered Support Vector Machine. IEEE Access 7: 135322-135331 (2019) - [j9]Pengfei Liang
Compound Fault Diagnosis of Gearboxes via Multi-label Convolutional Neural Network and Wavelet Transform. Comput. Ind. 113 (2019) - [j8]Guoqiang Li
Sensor Data-Driven Bearing Fault Diagnosis Based on Deep Convolutional Neural Networks and S-Transform. Sensors 19(12): 2750 (2019) - [j7]Jun Wu
Degradation Data-Driven Time-To-Failure Prognostics Approach for Rolling Element Bearings in Electrical Machines. IEEE Trans. Ind. Electron. 66(1): 529-539 (2019) - [j6]Yiwei Cheng
Machine Health Monitoring Using Adaptive Kernel Spectral Clustering and Deep Long Short-Term Memory Recurrent Neural Networks. IEEE Trans. Ind. Informatics 15(2): 987-997 (2019) - [c3]Pengfei Liang, Chao Deng, Jun Wu
Intelligent Fault Diagnosis of Rolling Element Bearing Based on Convolutional Neural Network and Frequency Spectrograms. ICPHM 2019: 1-5 - 2018
- [j5]Cong Zhang, Haiping Zhu, Jun Wu
An Economical Optimization Model of Non-Periodic Maintenance Decision for Deteriorating System. IEEE Access 6: 55149-55161 (2018) - [j4]Jun Wu
Multi-sensor information fusion for remaining useful life prediction of machining tools by adaptive network based fuzzy inference system. Appl. Soft Comput. 68: 13-23 (2018) - [j3]Chaoqun Duan
Selective maintenance scheduling under stochastic maintenance quality with multiple maintenance actions. Int. J. Prod. Res. 56(23): 7160-7178 (2018) - [c2]Chao Deng, Chaoqun Duan
Study on Health Assessment and Residual Useful Life Prediction of Wind Turbine. AIM 2018: 1112-1117 - 2017
- [j2]Jun Wu
Design a degradation condition monitoring system scheme for rolling bearing using EMD and PCA. Ind. Manag. Data Syst. 117(4): 713-728 (2017) - 2015
- [j1]Yuanhang Wang, Chao Deng, Jun Wu
Failure time prediction for mechanical device based on the degradation sequence. J. Intell. Manuf. 26(6): 1181-1199 (2015)
2000 – 2009
- 2008
- [c1]Chao Deng, Jun Wu
Reliability Assessment of Machining Accuracy on Support Vector Machine. ICIRA (2) 2008: 669-678
Coauthor Index
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