Jianbo Yu

ORCID

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 90

Top Venues

IEEE Trans. Instrum. Meas.

Int. J. Prod. Res.

Comput. Ind. Eng.

Appl. Soft Comput.

Publications

Jianbo Yu, Shijin Li, Xing Liu, Hao Li, Mingyan Ma, Peilun Liu, Lichun You
Residual squeeze-and-excitation convolutional auto-encoder for fault detection and diagnosis in complex industrial processes. Eng. Appl. Artif. Intell. 136 (2024)
Shuangqing Wang, Jianbo Yu, Zhi Li, Tianyou Chai
Semisupervised Classification With Sequence Gaussian Mixture Variational Autoencoder. IEEE Trans. Ind. Electron. 71 (9) (2024)
Mengqi Miao, Jianbo Yu
Deep feature interactive network for machinery fault diagnosis using multi-source heterogeneous data. Reliab. Eng. Syst. Saf. 242 (2024)
Mengqi Miao, Yun Wang, Jianbo Yu
Temporal self-supervised domain adaptation network for machinery fault diagnosis under multiple non-ideal conditions. Reliab. Eng. Syst. Saf. 251 (2024)
Jianbo Yu, Lixiang Zhao, Yanshu Wang, Yifan Ge
Defect detection of printed circuit board based on adaptive key-points localization network. Comput. Ind. Eng. 193 (2024)
Zhuolu Li, Jianbo Yu, Zhenhua Wang, Xiaofeng Yang, Zhi Li
A Mobile Switched Attention Network for Defects Classification on Co-Fired Piezoelectric Actuators. IEEE Trans. Instrum. Meas. 73 (2024)
Jianbo Yu, Yanshu Wang, Qingfeng Li, Hao Li, Mingyan Ma, Peilun Liu
Cascaded adaptive global localisation network for steel defect detection. Int. J. Prod. Res. 62 (13) (2024)
Zhuang Ye, Shang Yue, Pu Yang, Ruixu Zhou, Jianbo Yu
Deep Morphological Shrinkage Convolutional Autoencoder-Based Feature Learning of Vibration Signals for Gearbox Fault Diagnosis. IEEE Trans. Instrum. Meas. 73 (2024)
Jilin Shang, Jianbo Yu
A residual autoencoder-based transformer for fault detection of multivariate processes. Appl. Soft Comput. 163 (2024)
Jianbo Yu, Guoliang Liu
Knowledge Transfer-Based Sparse Deep Belief Network. IEEE Trans. Cybern. 53 (12) (2023)
Jianbo Yu, Yue Zhang
Challenges and opportunities of deep learning-based process fault detection and diagnosis: a review. Neural Comput. Appl. 35 (1) (2023)
Jianbo Yu, Yihao Huang, Yanfeng Gao, Qingfeng Li
Machine Motion Trajectory Detection Based on Siamese Graph-Attention Adaptive Network. IEEE Trans. Instrum. Meas. 72 (2023)
Chaoang Xiao, Jianbo Yu
Adaptive Swarm Decomposition Algorithm for Compound Fault Diagnosis of Rolling Bearings. IEEE Trans. Instrum. Meas. 72 (2023)
Mengqi Miao, Jianbo Yu
Sparse-Representation-Network-Based Feature Learning of Vibration Signal for Machinery Fault Diagnosis. IEEE Trans. Ind. Informatics 19 (5) (2023)
Chaoang Xiao, Jianbo Yu, Pu Yang, Shang Yue, Ruixu Zhou, Peilun Liu
Bearing compound fault diagnosis based on enhanced variational mode extraction algorithm. ICPHM (2023)
Mengqi Miao, Jianbo Yu, Pu Yang, Shang Yue, Ruixu Zhou
Selective Domain Adaptation Network for Lithium-ion Battery Health Monitoring. ICPHM (2023)
Shijin Li, Jianbo Yu
A Multisource Domain Adaptation Network for Process Fault Diagnosis Under Different Working Conditions. IEEE Trans. Ind. Electron. 70 (6) (2023)
Jianbo Yu, Shijin Li, Xing Liu, Yanfeng Gao, Shijin Wang, Changhui Liu
Dynamic convolutional gated recurrent unit attention auto-encoder for feature learning and fault detection in dynamic industrial processes. Int. J. Prod. Res. 61 (21) (2023)
Zhuang Ye, Jianbo Yu, Pu Yang, Shang Yue, Ruixu Zhou, Mingyan Ma
Generative Adversarial Network for State of Health Estimation of Lithium-ion Batteries. ICPHM (2023)
Shijin Wang, Ruochen Wu, Feng Chu, Jianbo Yu
An exact decomposition method for unrelated parallel machine scheduling with order acceptance and setup times. Comput. Ind. Eng. 175 (2023)
Zhuang Ye, Jianbo Yu
A Selective Adversarial Adaptation Network for Remaining Useful Life Prediction of Machines Under Different Working Conditions. IEEE Syst. J. 17 (1) (2023)
Yuanhang Sun, Jianbo Yu
A weighted nonconvex sparse representation with high-pass filter function for fault diagnosis of rolling bearing. SSIP (2022)
Zhuang Ye, Jianbo Yu
Multi-level features fusion network-based feature learning for machinery fault diagnosis. Appl. Soft Comput. 122 (2022)
Mengqi Miao, Yuanhang Sun, Jianbo Yu
Sparse Representation Convolutional Autoencoder for Feature Learning of Vibration Signals and its Applications in Machinery Fault Diagnosis. IEEE Trans. Ind. Electron. 69 (12) (2022)
Changhui Liu, Kun Chen, Sun Jin, Yuan Qu, Jianbo Yu, Binghai Zhou
An integrated method for variation pattern recognition of BIW OCMM online measurement data. Int. J. Prod. Res. 60 (6) (2022)
Shijin Li, Jianbo Yu
Deep Transfer Network With Adaptive Joint Distribution Adaptation: A New Process Fault Diagnosis Model. IEEE Trans. Instrum. Meas. 71 (2022)
Jianbo Yu, Xing Liu
One-dimensional residual convolutional auto-encoder for fault detection in complex industrial processes. Int. J. Prod. Res. 60 (18) (2022)
Yuanhang Sun, Jianbo Yu
Adaptive Sparse Representation-Based Minimum Entropy Deconvolution for Bearing Fault Detection. IEEE Trans. Instrum. Meas. 71 (2022)
Jianbo Yu, Xuefeng Yan
Data-feature-driven nonlinear process monitoring based on joint deep learning models with dual-scale. Inf. Sci. 591 (2022)
Shijin Wang, Ruochen Wu, Feng Chu, Jianbo Yu
Unrelated parallel machine scheduling problem with special controllable processing times and setups. Comput. Oper. Res. 148 (2022)
Changhui Liu, Sun Jin, Donghong Wang, Zichao Luo, Jianbo Yu, Binghai Zhou, Changlin Yang
Constrained Oversampling: An Oversampling Approach to Reduce Noise Generation in Imbalanced Datasets With Class Overlapping. IEEE Access 10 (2022)
Jianbo Yu, Chengyi Zhang, Shijin Wang
Sparse one-dimensional convolutional neural network-based feature learning for fault detection and diagnosis in multivariable manufacturing processes. Neural Comput. Appl. 34 (6) (2022)
Mengqi Miao, Jianbo Yu, Zhihong Zhao
A sparse domain adaption network for remaining useful life prediction of rolling bearings under different working conditions. Reliab. Eng. Syst. Saf. 219 (2022)
Jianbo Yu, Jiatong Liu
Multiple Granularities Generative Adversarial Network for Recognition of Wafer Map Defects. IEEE Trans. Ind. Informatics 18 (3) (2022)
Jianbo Yu, Xun Cheng, Qingfeng Li
Surface Defect Detection of Steel Strips Based on Anchor-Free Network With Channel Attention and Bidirectional Feature Fusion. IEEE Trans. Instrum. Meas. 71 (2022)
Jianbo Yu, Guoliang Liu
Retraction notice to "Knowledge-based deep belief network for machining roughness prediction and knowledge" [COMIND. Vol. 121 (2020) 103262]. Comput. Ind. 137 (2022)
Shijin Wang, Ying Lu, Feng Chu, Jianbo Yu
Scheduling with divisible jobs and subcontracting option. Comput. Oper. Res. 145 (2022)
Decong Chen, Yanzheng Bai, Chengrui Wang, Shuchao Wu, Chunyu Xiao, Jianbo Yu, Zebing Zhou
Bias Stability Investigation of a Triaxial Navigation-Compatible Accelerometer with an Electrostatic Spring. Sensors 22 (21) (2022)
Mengqi Miao, Yuanhang Sun, Jianbo Yu
Deep sparse representation network for feature learning of vibration signals and its application in gearbox fault diagnosis. Knowl. Based Syst. 240 (2022)
Xue-kai Chen, Jianbo Yu
Evaluation Model of Physical Education Integrated Ideology and Politics Based on Principal Component Analysis. Mob. Networks Appl. 27 (3) (2022)
Jianbo Yu, Zongli Shen, Xiaoyun Zheng
Joint Feature and Label Adversarial Network for Wafer Map Defect Recognition. IEEE Trans Autom. Sci. Eng. 18 (3) (2021)
Xun Cheng, Jianbo Yu
RetinaNet With Difference Channel Attention and Adaptively Spatial Feature Fusion for Steel Surface Defect Detection. IEEE Trans. Instrum. Meas. 70 (2021)
Shijin Wang, Wenli Cui, Feng Chu, Jianbo Yu
The interval min-max regret knapsack packing-delivery problem. Int. J. Prod. Res. 59 (18) (2021)
Jianbo Yu, Xingkang Zhou, Liang Lu, Zhihong Zhao
Multiscale Dynamic Fusion Global Sparse Network for Gearbox Fault Diagnosis. IEEE Trans. Instrum. Meas. 70 (2021)
Jianbo Yu, Chengyi Zhang, Shijin Wang
Multichannel one-dimensional convolutional neural network-based feature learning for fault diagnosis of industrial processes. Neural Comput. Appl. 33 (8) (2021)
Jianbo Yu, Xing Liu, Lyujiangnan Ye
Convolutional Long Short-Term Memory Autoencoder-Based Feature Learning for Fault Detection in Industrial Processes. IEEE Trans. Instrum. Meas. 70 (2021)
Jianbo Yu, Zongli Shen, Shijin Wang
Wafer map defect recognition based on deep transfer learning-based densely connected convolutional network and deep forest. Eng. Appl. Artif. Intell. 105 (2021)
Xing Liu, Jianbo Yu, Lyujiangnan Ye
Residual attention convolutional autoencoder for feature learning and fault detection in nonlinear industrial processes. Neural Comput. Appl. 33 (19) (2021)
Yuanhang Sun, Jianbo Yu
Fault Detection of Rolling Bearing Using Sparse Representation-Based Adjacent Signal Difference. IEEE Trans. Instrum. Meas. 70 (2021)
Jianbo Yu, Shijin Li, Zongli Shen, Shijin Wang, Changhui Liu, Qingfeng Li
Deep transfer Wasserstein adversarial network for wafer map defect recognition. Comput. Ind. Eng. 161 (2021)
Jianbo Yu, Guoliang Liu
Extracting and inserting knowledge into stacked denoising auto-encoders. Neural Networks 137 (2021)
Zhuang Ye, Jianbo Yu
Health condition monitoring of machines based on long short-term memory convolutional autoencoder. Appl. Soft Comput. 107 (2021)
Zhuang Ye, Jianbo Yu
AKRNet: A novel convolutional neural network with attentive kernel residual learning for feature learning of gearbox vibration signals. Neurocomputing 447 (2021)
Chengyi Zhang, Jianbo Yu, Shijin Wang
Fault detection and recognition of multivariate process based on feature learning of one-dimensional convolutional neural network and stacked denoised autoencoder. Int. J. Prod. Res. 59 (8) (2021)
Mengqi Miao, Jianbo Yu
A Deep Domain Adaptative Network for Remaining Useful Life Prediction of Machines Under Different Working Conditions and Fault Modes. IEEE Trans. Instrum. Meas. 70 (2021)
Yuanhang Sun, Jianbo Yu
An Adaptive Weighted Adjacent Difference Sparse Representation for Bearing Fault Diagnosis. IEEE Trans. Instrum. Meas. 70 (2021)
Jianbo Yu, Xuefeng Yan
: Features with memory information extracted from unlabeled data and their application on industrial unsupervised industrial fault detection. Appl. Soft Comput. 108 (2021)
Kai He, Lei Mao, Jianbo Yu, Weiguo Huang, Qingbo He, Lisa M. Jackson
Long-Term Performance Prediction of PEMFC Based on LASSO-ESN. IEEE Trans. Instrum. Meas. 70 (2021)
Junjie Zhou, Jianbo Yu
Chisel edge wear measurement of high-speed steel twist drills based on machine vision. Comput. Ind. 128 (2021)
Jianbo Yu, Jiatong Liu
Two-Dimensional Principal Component Analysis-Based Convolutional Autoencoder for Wafer Map Defect Detection. IEEE Trans. Ind. Electron. 68 (9) (2021)
Mengqi Miao, Changhui Liu, Jianbo Yu
Adaptive Densely Connected Convolutional Auto-Encoder-Based Feature Learning of Gearbox Vibration Signals. IEEE Trans. Instrum. Meas. 70 (2021)
Jianbo Yu, Chengrui Wang, Ying Wang, Yanzheng Bai, Ming Hu, Ke Li, Zhuxi Li, Shaobo Qu, Shuchao Wu, Zebing Zhou
Investigation on Stray-Capacitance Influences of Coaxial Cables in Capacitive Transducers for a Space Inertial Sensor. Sensors 20 (11) (2020)
Jianbo Yu, Guoliang Liu
Knowledge extraction and insertion to deep belief network for gearbox fault diagnosis. Knowl. Based Syst. 197 (2020)
Shijin Wang, Ruochen Wu, Feng Chu, Jianbo Yu
Identical parallel machine scheduling with assurance of maximum waiting time for an emergency job. Comput. Oper. Res. 118 (2020)
Jianbo Yu, Xuefeng Yan
Modeling Large-Scale Industrial Processes by Multiple Deep Belief Networks With Lower-Pressure and Higher-Precision for Status Monitoring. IEEE Access 8 (2020)
Jianbo Yu, Guoliang Liu
Knowledge-based deep belief network for machining roughness prediction and knowledge discovery. Comput. Ind. 121 (2020)
Shijin Wang, Ruochen Wu, Feng Chu, Jianbo Yu
Variable neighborhood search-based methods for integrated hybrid flow shop scheduling with distribution. Soft Comput. 24 (12) (2020)
Shijin Wang, Ruochen Wu, Feng Chu, Jianbo Yu, Xin Liu
An improved formulation and efficient heuristics for the discrete parallel-machine makespan ScheLoc problem. Comput. Ind. Eng. 140 (2020)
Shijin Wang, Wenli Cui, Feng Chu, Jianbo Yu, Jatinder N. D. Gupta
Robust (min-max regret) single machine scheduling with interval processing times and total tardiness criterion. Comput. Ind. Eng. 149 (2020)
Jianbo Yu, Xuefeng Yan
Whole Process Monitoring Based on Unstable Neuron Output Information in Hidden Layers of Deep Belief Network. IEEE Trans. Cybern. 50 (9) (2020)
Jianbo Yu, Xingkang Zhou
One-Dimensional Residual Convolutional Autoencoder Based Feature Learning for Gearbox Fault Diagnosis. IEEE Trans. Ind. Informatics 16 (10) (2020)
Jianbo Yu, Xuefeng Yan
Multiscale intelligent fault detection system based on agglomerative hierarchical clustering using stacked denoising autoencoder with temporal information. Appl. Soft Comput. 95 (2020)
Shumei Chen, Jianbo Yu, Shijin Wang
Monitoring of complex profiles based on deep stacked denoising autoencoders. Comput. Ind. Eng. 143 (2020)
Shijin Wang, Xiaodong Wang, Feng Chu, Jianbo Yu
An energy-efficient two-stage hybrid flow shop scheduling problem in a glass production. Int. J. Prod. Res. 58 (8) (2020)
Jianbo Yu, Haiqiang Liu, Xiaoyun Zheng
Two-dimensional joint local and nonlocal discriminant analysis-based 2D image feature extraction for deep learning. Neural Comput. Appl. 32 (10) (2020)
Jianbo Yu
Evolutionary manifold regularized stacked denoising autoencoders for gearbox fault diagnosis. Knowl. Based Syst. 178 (2019)
Jianbo Yu, Peng Zhu
Weighted Self-Regulation Complex Network-Based Variation Modeling and Error Source Diagnosis of Hybrid Multistage Machining Processes. IEEE Access 7 (2019)
Zongli Shen, Jianbo Yu
Wafer Map Defect Recognition Based on Deep Transfer Learning. IEEM (2019)
Jianbo Yu, Xiaoyun Zheng, Jiatong Liu
Stacked convolutional sparse denoising auto-encoder for identification of defect patterns in semiconductor wafer map. Comput. Ind. 109 (2019)
Jianbo Yu, Tianzhong Hu, Haiqiang Liu
A New Morphological Filter for Fault Feature Extraction of Vibration Signals. IEEE Access 7 (2019)
Jianbo Yu, Xiaoyun Zheng, Shijin Wang
Stacked denoising autoencoder-based feature learning for out-of-control source recognition in multivariate manufacturing process. Qual. Reliab. Eng. Int. 35 (1) (2019)
Shumei Chen, Jianbo Yu
Deep recurrent neural network-based residual control chart for autocorrelated processes. Qual. Reliab. Eng. Int. 35 (8) (2019)
Jianbo Yu
A selective deep stacked denoising autoencoders ensemble with negative correlation learning for gearbox fault diagnosis. Comput. Ind. 108 (2019)
Peng Guo, Jianbo Yu
Optimal Control of Blank Holder Force Based on Deep Reinforcement Learning. IEEM (2019)
Jianbo Yu
Manifold regularized stacked denoising autoencoders with feature selection. Neurocomputing 358 (2019)
Jianbo Yu, Haiqiang Liu
Sparse Coding Shrinkage in Intrinsic Time-Scale Decomposition for Weak Fault Feature Extraction of Bearings. IEEE Trans. Instrum. Meas. 67 (7) (2018)
Jianbo Yu
State of health prediction of lithium-ion batteries: Multiscale logic regression and Gaussian process regression ensemble. Reliab. Eng. Syst. Saf. 174 (2018)
Jianbo Yu
Tool condition prognostics using logistic regression with penalization and manifold regularization. Appl. Soft Comput. 64 (2018)
Jianbo Yu, Jingxiang Lv
Weak Fault Feature Extraction of Rolling Bearings Using Local Mean Decomposition-Based Multilayer Hybrid Denoising. IEEE Trans. Instrum. Meas. 66 (12) (2017)
Chengze Li, Haoyu Wang, Junfeng Wang, Qi Li, Jianbo Yu, Jingyi Guo, Guoai Xu, Yanhui Guo
CRSPR: PageRank for Android Apps. IEEE Access 5 (2017)
Jianbo Yu
State-of-Health Monitoring and Prediction of Lithium-Ion Battery Using Probabilistic Indication and State-Space Model. IEEE Trans. Instrum. Meas. 64 (11) (2015)
Jianbo Yu
Health Degradation Detection and Monitoring of Lithium-Ion Battery Based on Adaptive Learning Method. IEEE Trans. Instrum. Meas. 63 (7) (2014)
Shijin Wang, Jianbo Yu, Edzel Lapira, Jay Lee
A modified support vector data description based novelty detection approach for machinery components. Appl. Soft Comput. 13 (2) (2013)
Chunhua Hu, Ren He, Runcai Wang, Jianbo Yu
Fault Prediction and Fault-Tolerant of Lithium-ion Batteries Temperature Failure for Electric Vehicle. ICDMA (2012)
Jianbo Yu
Health Condition Monitoring of Machines Based on Hidden Markov Model and Contribution Analysis. IEEE Trans. Instrum. Meas. 61 (8) (2012)
Jianbo Yu
Local and Nonlocal Preserving Projection for Bearing Defect Classification and Performance Assessment. IEEE Trans. Ind. Electron. 59 (5) (2012)
Jianbo Yu
Online tool wear prediction in drilling operations using selective artificial neural network ensemble model. Neural Comput. Appl. 20 (4) (2011)
Jianbo Yu
Bearing performance degradation assessment using locality preserving projections. Expert Syst. Appl. 38 (6) (2011)
Jianbo Yu
Pattern recognition of manufacturing process signals using Gaussian mixture models-based recognition systems. Comput. Ind. Eng. 61 (3) (2011)
Jianbo Yu
A hybrid feature selection scheme and self-organizing map model for machine health assessment. Appl. Soft Comput. 11 (5) (2011)

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Publication Activity (10 Years)

Top Topics

Top Venues

Jianbo Yu