Jianbo Yu

96 papers Journal 90Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
Graph autoencoder with causal relationship inference for fault detection and root cause identification in complex industrial process.
Adv. Eng. Informatics
Shijin Li, Jun Hao, Jianbo Yu
2026 J jnl
Multimodal Feature Interactive Network for Machinery Fault Diagnosis Under Small Samples.
IEEE Internet Things J.
Ziyue Jiang, Ran Li, Jianbo Yu
2026 J jnl
Vibration Representation and Speed-Joint Network for Machinery Fault Diagnosis Under Time-Varying Conditions With Sparse Fault Data.
IEEE Trans. Syst. Man Cybern. Syst.
Wenyi Liu, Chaoang Xiao, Jianbo Yu
2025 J jnl
Crop-paste and diffusion-based semi-supervised segmentation network for metal defect detection.
Knowl. Based Syst.
Lixiang Zhao, Jianbo Yu
2025 J jnl
Multi-Tasks Joint Network for Anomaly Diagnosis and Inconsistent Identification of VRLA Battery in Large Data Center.
IEEE Trans. Ind. Informatics
Zhuang Ye, Shang Yue, Pu Yang, Ruixu Zhou, Jianbo Yu
2025 J jnl
Multiple Wave Shape Mode Decomposition for Bearing Fault Diagnosis.
IEEE Trans. Instrum. Meas.
Chaoang Xiao, Jiantao Chang, Jianbo Yu
2024 J jnl
A residual autoencoder-based transformer for fault detection of multivariate processes.
Appl. Soft Comput.
Jilin Shang, Jianbo Yu
2024 J jnl
Deep Morphological Shrinkage Convolutional Autoencoder-Based Feature Learning of Vibration Signals for Gearbox Fault Diagnosis.
IEEE Trans. Instrum. Meas.
Zhuang Ye, Shang Yue, Pu Yang, Ruixu Zhou, Jianbo Yu
2024 J jnl
Incorporate Rotational Speeds Into Deep Neural Network for Machinery Health Monitoring.
IEEE Trans. Ind. Informatics
Wenyi Liu, Chaoang Xiao, Jianbo Yu
2024 J jnl
Machining Tool Wear Detection and Measurement Based on Edge Extraction and Subpixel Fitting.
IEEE Trans. Instrum. Meas.
Peiwen Chen, Jianbo Yu
2023 J jnl
A Multisource Domain Adaptation Network for Process Fault Diagnosis Under Different Working Conditions.
IEEE Trans. Ind. Electron.
Shijin Li, Jianbo Yu
2023 J jnl
A Selective Adversarial Adaptation Network for Remaining Useful Life Prediction of Machines Under Different Working Conditions.
IEEE Syst. J.
Zhuang Ye, Jianbo Yu
2023 J jnl
Adaptive Swarm Decomposition Algorithm for Compound Fault Diagnosis of Rolling Bearings.
IEEE Trans. Instrum. Meas.
Chaoang Xiao, Jianbo Yu
2023 J jnl
An exact decomposition method for unrelated parallel machine scheduling with order acceptance and setup times.
Comput. Ind. Eng.
Shijin Wang, Ruochen Wu, Feng Chu, Jianbo Yu
2023 J jnl
Challenges and opportunities of deep learning-based process fault detection and diagnosis: a review.
Neural Comput. Appl.
Jianbo Yu, Yue Zhang
2023 J jnl
Dynamic convolutional gated recurrent unit attention auto-encoder for feature learning and fault detection in dynamic industrial processes.
Int. J. Prod. Res.
Jianbo Yu, Shijin Li, Xing Liu, Yanfeng Gao, Shijin Wang, Changhui Liu
2023 J jnl
Knowledge Transfer-Based Sparse Deep Belief Network.
IEEE Trans. Cybern.
Jianbo Yu, Guoliang Liu
2023 J jnl
Machine Motion Trajectory Detection Based on Siamese Graph-Attention Adaptive Network.
IEEE Trans. Instrum. Meas.
Jianbo Yu, Yihao Huang, Yanfeng Gao, Qingfeng Li
2023 J jnl
Sparse-Representation-Network-Based Feature Learning of Vibration Signal for Machinery Fault Diagnosis.
IEEE Trans. Ind. Informatics
Mengqi Miao, Jianbo Yu
2022 — conf
A weighted nonconvex sparse representation with high-pass filter function for fault diagnosis of rolling bearing.
SSIP
Yuanhang Sun, Jianbo Yu
2022 J jnl
Adaptive Sparse Representation-Based Minimum Entropy Deconvolution for Bearing Fault Detection.
IEEE Trans. Instrum. Meas.
Yuanhang Sun, Jianbo Yu
2022 J jnl
An integrated method for variation pattern recognition of BIW OCMM online measurement data.
Int. J. Prod. Res.
Changhui Liu, Kun Chen, Sun Jin, Yuan Qu, Jianbo Yu, Binghai Zhou
2022 J jnl
Constrained Oversampling: An Oversampling Approach to Reduce Noise Generation in Imbalanced Datasets With Class Overlapping.
IEEE Access
Changhui Liu, Sun Jin, Donghong Wang, Zichao Luo, Jianbo Yu, Binghai Zhou, Changlin Yang
2022 J jnl
Deep Transfer Network With Adaptive Joint Distribution Adaptation: A New Process Fault Diagnosis Model.
IEEE Trans. Instrum. Meas.
Shijin Li, Jianbo Yu
2022 J jnl
Multi-level features fusion network-based feature learning for machinery fault diagnosis.
Appl. Soft Comput.
Zhuang Ye, Jianbo Yu
2022 J jnl
Multiple Granularities Generative Adversarial Network for Recognition of Wafer Map Defects.
IEEE Trans. Ind. Informatics
Jianbo Yu, Jiatong Liu
2022 J jnl
Scheduling with divisible jobs and subcontracting option.
Comput. Oper. Res.
Shijin Wang, Ying Lu, Feng Chu, Jianbo Yu
2022 J jnl
Sparse Representation Convolutional Autoencoder for Feature Learning of Vibration Signals and its Applications in Machinery Fault Diagnosis.
IEEE Trans. Ind. Electron.
Mengqi Miao, Yuanhang Sun, Jianbo Yu
2022 J jnl
Sparse one-dimensional convolutional neural network-based feature learning for fault detection and diagnosis in multivariable manufacturing processes.
Neural Comput. Appl.
Jianbo Yu, Chengyi Zhang, Shijin Wang
2022 J jnl
Surface Defect Detection of Steel Strips Based on Anchor-Free Network With Channel Attention and Bidirectional Feature Fusion.
IEEE Trans. Instrum. Meas.
Jianbo Yu, Xun Cheng, Qingfeng Li
2022 J jnl
Unrelated parallel machine scheduling problem with special controllable processing times and setups.
Comput. Oper. Res.
Shijin Wang, Ruochen Wu, Feng Chu, Jianbo Yu
2021 J jnl
A Deep Domain Adaptative Network for Remaining Useful Life Prediction of Machines Under Different Working Conditions and Fault Modes.
IEEE Trans. Instrum. Meas.
Mengqi Miao, Jianbo Yu
2021 J jnl
AKRNet: A novel convolutional neural network with attentive kernel residual learning for feature learning of gearbox vibration signals.
Neurocomputing
Zhuang Ye, Jianbo Yu
2021 J jnl
Adaptive Densely Connected Convolutional Auto-Encoder-Based Feature Learning of Gearbox Vibration Signals.
IEEE Trans. Instrum. Meas.
Mengqi Miao, Changhui Liu, Jianbo Yu
2021 J jnl
An Adaptive Weighted Adjacent Difference Sparse Representation for Bearing Fault Diagnosis.
IEEE Trans. Instrum. Meas.
Yuanhang Sun, Jianbo Yu
2021 J jnl
Chisel edge wear measurement of high-speed steel twist drills based on machine vision.
Comput. Ind.
Junjie Zhou, Jianbo Yu
2021 J jnl
Convolutional Long Short-Term Memory Autoencoder-Based Feature Learning for Fault Detection in Industrial Processes.
IEEE Trans. Instrum. Meas.
Jianbo Yu, Xing Liu, Lyujiangnan Ye
2021 J jnl
Deep transfer Wasserstein adversarial network for wafer map defect recognition.
Comput. Ind. Eng.
Jianbo Yu, Shijin Li, Zongli Shen, Shijin Wang, Changhui Liu, Qingfeng Li
2021 J jnl
Extracting and inserting knowledge into stacked denoising auto-encoders.
Neural Networks
Jianbo Yu, Guoliang Liu
2021 J jnl
Fault Detection of Rolling Bearing Using Sparse Representation-Based Adjacent Signal Difference.
IEEE Trans. Instrum. Meas.
Yuanhang Sun, Jianbo Yu
2021 J jnl
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.
Chengyi Zhang, Jianbo Yu, Shijin Wang
2021 J jnl
Health condition monitoring of machines based on long short-term memory convolutional autoencoder.
Appl. Soft Comput.
Zhuang Ye, Jianbo Yu
2021 J jnl
Joint Feature and Label Adversarial Network for Wafer Map Defect Recognition.
IEEE Trans Autom. Sci. Eng.
Jianbo Yu, Zongli Shen, Xiaoyun Zheng
2021 J jnl
Long-Term Performance Prediction of PEMFC Based on LASSO-ESN.
IEEE Trans. Instrum. Meas.
Kai He, Lei Mao, Jianbo Yu, Weiguo Huang, Qingbo He, Lisa M. Jackson
2021 J jnl
Multichannel one-dimensional convolutional neural network-based feature learning for fault diagnosis of industrial processes.
Neural Comput. Appl.
Jianbo Yu, Chengyi Zhang, Shijin Wang
2021 J jnl
Multiscale Dynamic Fusion Global Sparse Network for Gearbox Fault Diagnosis.
IEEE Trans. Instrum. Meas.
Jianbo Yu, Xingkang Zhou, Liang Lu, Zhihong Zhao
2021 J jnl
Residual attention convolutional autoencoder for feature learning and fault detection in nonlinear industrial processes.
Neural Comput. Appl.
Xing Liu, Jianbo Yu, Lyujiangnan Ye
2021 J jnl
RetinaNet With Difference Channel Attention and Adaptively Spatial Feature Fusion for Steel Surface Defect Detection.
IEEE Trans. Instrum. Meas.
Xun Cheng, Jianbo Yu
2021 J jnl
The interval min-max regret knapsack packing-delivery problem.
Int. J. Prod. Res.
Shijin Wang, Wenli Cui, Feng Chu, Jianbo Yu
2021 J jnl
Two-Dimensional Principal Component Analysis-Based Convolutional Autoencoder for Wafer Map Defect Detection.
IEEE Trans. Ind. Electron.
Jianbo Yu, Jiatong Liu
2021 J jnl
Wafer map defect recognition based on deep transfer learning-based densely connected convolutional network and deep forest.
Eng. Appl. Artif. Intell.
Jianbo Yu, Zongli Shen, Shijin Wang
2020 J jnl
An energy-efficient two-stage hybrid flow shop scheduling problem in a glass production.
Int. J. Prod. Res.
Shijin Wang, Xiaodong Wang, Feng Chu, Jianbo Yu
2020 J jnl
An improved formulation and efficient heuristics for the discrete parallel-machine makespan ScheLoc problem.
Comput. Ind. Eng.
Shijin Wang, Ruochen Wu, Feng Chu, Jianbo Yu, Xin Liu
2020 J jnl
Identical parallel machine scheduling with assurance of maximum waiting time for an emergency job.
Comput. Oper. Res.
Shijin Wang, Ruochen Wu, Feng Chu, Jianbo Yu
2020 J jnl
Knowledge extraction and insertion to deep belief network for gearbox fault diagnosis.
Knowl. Based Syst.
Jianbo Yu, Guoliang Liu
2020 J jnl
Monitoring of complex profiles based on deep stacked denoising autoencoders.
Comput. Ind. Eng.
Shumei Chen, Jianbo Yu, Shijin Wang
2020 J jnl
One-Dimensional Residual Convolutional Autoencoder Based Feature Learning for Gearbox Fault Diagnosis.
IEEE Trans. Ind. Informatics
Jianbo Yu, Xingkang Zhou
2020 J jnl
Robust (min-max regret) single machine scheduling with interval processing times and total tardiness criterion.
Comput. Ind. Eng.
Shijin Wang, Wenli Cui, Feng Chu, Jianbo Yu, Jatinder N. D. Gupta
2020 J jnl
Two-dimensional joint local and nonlocal discriminant analysis-based 2D image feature extraction for deep learning.
Neural Comput. Appl.
Jianbo Yu, Haiqiang Liu, Xiaoyun Zheng
2020 J jnl
Variable neighborhood search-based methods for integrated hybrid flow shop scheduling with distribution.
Soft Comput.
Shijin Wang, Ruochen Wu, Feng Chu, Jianbo Yu
2019 J jnl
A New Morphological Filter for Fault Feature Extraction of Vibration Signals.
IEEE Access
Jianbo Yu, Tianzhong Hu, Haiqiang Liu
2019 J jnl
A selective deep stacked denoising autoencoders ensemble with negative correlation learning for gearbox fault diagnosis.
Comput. Ind.
Jianbo Yu
2019 J jnl
Deep recurrent neural network-based residual control chart for autocorrelated processes.
Qual. Reliab. Eng. Int.
Shumei Chen, Jianbo Yu
2019 J jnl
Evolutionary manifold regularized stacked denoising autoencoders for gearbox fault diagnosis.
Knowl. Based Syst.
Jianbo Yu
2019 J jnl
Manifold regularized stacked denoising autoencoders with feature selection.
Neurocomputing
Jianbo Yu
2019 — conf
Optimal Control of Blank Holder Force Based on Deep Reinforcement Learning.
IEEM
Peng Guo, Jianbo Yu
2019 J jnl
Stacked convolutional sparse denoising auto-encoder for identification of defect patterns in semiconductor wafer map.
Comput. Ind.
Jianbo Yu, Xiaoyun Zheng, Jiatong Liu
2019 J jnl
Stacked denoising autoencoder-based feature learning for out-of-control source recognition in multivariate manufacturing process.
Qual. Reliab. Eng. Int.
Jianbo Yu, Xiaoyun Zheng, Shijin Wang
2019 — conf
Wafer Map Defect Recognition Based on Deep Transfer Learning.
IEEM
Zongli Shen, Jianbo Yu
2019 J jnl
Weighted Self-Regulation Complex Network-Based Variation Modeling and Error Source Diagnosis of Hybrid Multistage Machining Processes.
IEEE Access
Jianbo Yu, Peng Zhu
2018 J jnl
Sparse Coding Shrinkage in Intrinsic Time-Scale Decomposition for Weak Fault Feature Extraction of Bearings.
IEEE Trans. Instrum. Meas.
Jianbo Yu, Haiqiang Liu
2018 J jnl
State of health prediction of lithium-ion batteries: Multiscale logic regression and Gaussian process regression ensemble.
Reliab. Eng. Syst. Saf.
Jianbo Yu
2018 J jnl
Tool condition prognostics using logistic regression with penalization and manifold regularization.
Appl. Soft Comput.
Jianbo Yu
2017 J jnl
Weak Fault Feature Extraction of Rolling Bearings Using Local Mean Decomposition-Based Multilayer Hybrid Denoising.
IEEE Trans. Instrum. Meas.
Jianbo Yu, Jingxiang Lv
2015 J jnl
State-of-Health Monitoring and Prediction of Lithium-Ion Battery Using Probabilistic Indication and State-Space Model.
IEEE Trans. Instrum. Meas.
Jianbo Yu
2014 J jnl
Health Degradation Detection and Monitoring of Lithium-Ion Battery Based on Adaptive Learning Method.
IEEE Trans. Instrum. Meas.
Jianbo Yu
2013 J jnl
A modified support vector data description based novelty detection approach for machinery components.
Appl. Soft Comput.
Shijin Wang, Jianbo Yu, Edzel Lapira, Jay Lee
2012 J jnl
Health Condition Monitoring of Machines Based on Hidden Markov Model and Contribution Analysis.
IEEE Trans. Instrum. Meas.
Jianbo Yu
2012 J jnl
Local and Nonlocal Preserving Projection for Bearing Defect Classification and Performance Assessment.
IEEE Trans. Ind. Electron.
Jianbo Yu
2011 J jnl
A hybrid feature selection scheme and self-organizing map model for machine health assessment.
Appl. Soft Comput.
Jianbo Yu
2011 J jnl
Bearing performance degradation assessment using locality preserving projections.
Expert Syst. Appl.
Jianbo Yu
2011 J jnl
Online tool wear prediction in drilling operations using selective artificial neural network ensemble model.
Neural Comput. Appl.
Jianbo Yu
2011 J jnl
Pattern recognition of manufacturing process signals using Gaussian mixture models-based recognition systems.
Comput. Ind. Eng.
Jianbo Yu
2010 — conf
A Neural Network-Based On-line Monitoring Model of Process Mean and Variance Shifts.
ICEE
Bin Wu, Jianbo Yu
2010 J jnl
A neural network ensemble model for on-line monitoring of process mean and variance shifts in correlated processes.
Expert Syst. Appl.
Bin Wu, Jianbo Yu
2010 J jnl
An effective heuristic for flexible job-shop scheduling problem with maintenance activities.
Comput. Ind. Eng.
Shijin Wang, Jianbo Yu
2009 J jnl
A neural network ensemble-based model for on-line monitoring and diagnosis of out-of-control signals in multivariate manufacturing processes.
Expert Syst. Appl.
Jianbo Yu, Lifeng Xi
2009 J jnl
Identifying source(s) of out-of-control signals in multivariate manufacturing processes using selective neural network ensemble.
Eng. Appl. Artif. Intell.
Jianbo Yu, Lifeng Xi, Xiaojun Zhou
2009 J jnl
Using Minimum Quantization Error chart for the monitoring of process states in multivariate manufacturing processes.
Comput. Ind. Eng.
Jianbo Yu, Shijin Wang
2008 — conf
An Integrated Framework for Intelligently Reconfigurable Manufacturing Control System Based on Knowledge Function Block.
FSKD (5)
Bin Wu, Jianbo Yu, Bing-Hai Zhou, Lifeng Xi
2008 J jnl
Evolving artificial neural networks using an improved PSO and DPSO.
Neurocomputing
Jianbo Yu, Shijin Wang, Lifeng Xi
2008 J jnl
Intelligent monitoring and diagnosis of manufacturing process using an integrated approach of neural network ensemble and genetic algorithm.
Int. J. Comput. Appl. Technol.
Jianbo Yu, Lifeng Xi
2008 J jnl
Intelligent monitoring and diagnosis of manufacturing processes using an integrated approach of KBANN and GA.
Comput. Ind.
Jianbo Yu, Lifeng Xi, Xiaojun Zhou
2008 J jnl
Intelligently reconfigurable manufacturing control system based on knowledge function block.
Int. J. Comput. Appl. Technol.
Bin Wu, Lifeng Xi, Jianbo Yu, Bing-Hai Zhou
2007 — conf
A Neural Network Ensemble Approach for the Recognition of SPC Chart Patterns.
ICNC (2)
Jianbo Yu, Lifeng Xi, Bin Wu
2007 J jnl
An Improved Particle Swarm Optimization for Evolving Feedforward Artificial Neural Networks.
Neural Process. Lett.
Jianbo Yu, Lifeng Xi, Shijin Wang