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2020 – today
- 2025
[j108]Lixiang Zhao, Yulong Zhang, Jie Duan, Jianbo Yu:
Cross-supervised contrastive learning domain adaptation network for steel defect segmentation. Adv. Eng. Informatics 64: 102964 (2025)- 2024
- [j107]Jianbo Yu
, Zhaomin Lv, Hang Ruan, Shijie Hu, Qingchao Jiang, Xuefeng Yan, Yuping Liu, Xiaofeng Yang:
Mutual stacked autoencoder for unsupervised fault detection under complex multi-residual correlations. Adv. Eng. Informatics 62: 102837 (2024) - [j106]Jilin Shang, Jianbo Yu:
A residual autoencoder-based transformer for fault detection of multivariate processes. Appl. Soft Comput. 163: 111896 (2024) - [j105]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: 110258 (2024) - [j104]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: 108872 (2024) - [j103]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): 4884-4901 (2024) - [j102]Zeqi Ren, Jianbo Yu, Jian Huang, Xiaofeng Yang, Siyang Leng, Yuping Liu, Shifu Yan:
Physically-guided temporal diffusion transformer for long-term time series forecasting. Knowl. Based Syst. 304: 112508 (2024) - [j101]Mengqi Miao, Jianbo Yu:
Deep feature interactive network for machinery fault diagnosis using multi-source heterogeneous data. Reliab. Eng. Syst. Saf. 242: 109795 (2024) - [j100]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: 110347 (2024) - [j99]Shuangqing Wang, Jianbo Yu, Zhi Li, Tianyou Chai:
Semisupervised Classification With Sequence Gaussian Mixture Variational Autoencoder. IEEE Trans. Ind. Electron. 71(9): 11540-11548 (2024) - [j98]Wenyi Liu, Chaoang Xiao, Jianbo Yu:
Incorporate Rotational Speeds Into Deep Neural Network for Machinery Health Monitoring. IEEE Trans. Ind. Informatics 20(11): 13330-13340 (2024) - [j97]Peiwen Chen, Jianbo Yu:
Machining Tool Wear Detection and Measurement Based on Edge Extraction and Subpixel Fitting. IEEE Trans. Instrum. Meas. 73: 1-11 (2024) - [j96]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: 1-9 (2024) - [j95]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: 1-12 (2024) - [j94]Zhijing Li, Qiuai Fu, Zhijun Huang, Jianbo Yu, Yiqian Li, Yuanhao Lai, Yuchi Ma:
Revisiting Log Parsing: The Present, the Future, and the Uncertainties. IEEE Trans. Reliab. 73(3): 1459-1472 (2024) - 2023
- [j93]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: 108899 (2023) - [j92]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): 7434-7452 (2023) - [j91]Jianbo Yu, Yue Zhang:
Challenges and opportunities of deep learning-based process fault detection and diagnosis: a review. Neural Comput. Appl. 35(1): 211-252 (2023) - [j90]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): 62-71 (2023) - [j89]Jianbo Yu, Guoliang Liu:
Knowledge Transfer-Based Sparse Deep Belief Network. IEEE Trans. Cybern. 53(12): 7572-7583 (2023) - [j88]Shijin Li, Jianbo Yu:
A Multisource Domain Adaptation Network for Process Fault Diagnosis Under Different Working Conditions. IEEE Trans. Ind. Electron. 70(6): 6272-6283 (2023) - [j87]Mengqi Miao, Jianbo Yu:
Sparse-Representation-Network-Based Feature Learning of Vibration Signal for Machinery Fault Diagnosis. IEEE Trans. Ind. Informatics 19(5): 6706-6716 (2023) - [j86]Chaoang Xiao, Jianbo Yu:
Adaptive Swarm Decomposition Algorithm for Compound Fault Diagnosis of Rolling Bearings. IEEE Trans. Instrum. Meas. 72: 1-14 (2023) - [j85]Jianbo Yu, Yihao Huang, Yanfeng Gao, Qingfeng Li:
Machine Motion Trajectory Detection Based on Siamese Graph-Attention Adaptive Network. IEEE Trans. Instrum. Meas. 72: 1-10 (2023) - [c10]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: 73-78 - [c9]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: 99-104 - [c8]Mengqi Miao, Jianbo Yu, Pu Yang, Shang Yue, Ruixu Zhou:
Selective Domain Adaptation Network for Lithium-ion Battery Health Monitoring. ICPHM 2023: 112-118 - 2022
- [j84]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: 91452-91465 (2022) - [j83]Zhuang Ye, Jianbo Yu:
Multi-level features fusion network-based feature learning for machinery fault diagnosis. Appl. Soft Comput. 122: 108900 (2022) - [j82]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: 103534 (2022) - [j81]Shijin Wang, Ying Lu, Feng Chu, Jianbo Yu:
Scheduling with divisible jobs and subcontracting option. Comput. Oper. Res. 145: 105850 (2022) - [j80]Shijin Wang, Ruochen Wu, Feng Chu, Jianbo Yu:
Unrelated parallel machine scheduling problem with special controllable processing times and setups. Comput. Oper. Res. 148: 105990 (2022) - [j79]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): 1932-1953 (2022) - [j78]Jianbo Yu, Xing Liu:
One-dimensional residual convolutional auto-encoder for fault detection in complex industrial processes. Int. J. Prod. Res. 60(18): 5655-5674 (2022) - [j77]Jianbo Yu, Xuefeng Yan:
Data-feature-driven nonlinear process monitoring based on joint deep learning models with dual-scale. Inf. Sci. 591: 381-399 (2022) - [j76]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: 108116 (2022) - [j75]Xue-kai Chen, Jianbo Yu:
Evaluation Model of Physical Education Integrated Ideology and Politics Based on Principal Component Analysis. Mob. Networks Appl. 27(3): 1240-1251 (2022) - [j74]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): 4343-4366 (2022) - [j73]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: 108259 (2022) - [j72]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): 8102 (2022) - [j71]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): 13565-13575 (2022) - [j70]Jianbo Yu, Jiatong Liu:
Multiple Granularities Generative Adversarial Network for Recognition of Wafer Map Defects. IEEE Trans. Ind. Informatics 18(3): 1674-1683 (2022) - [j69]Shijin Li, Jianbo Yu:
Deep Transfer Network With Adaptive Joint Distribution Adaptation: A New Process Fault Diagnosis Model. IEEE Trans. Instrum. Meas. 71: 1-13 (2022) - [j68]Yuanhang Sun, Jianbo Yu:
Adaptive Sparse Representation-Based Minimum Entropy Deconvolution for Bearing Fault Detection. IEEE Trans. Instrum. Meas. 71: 1-10 (2022) - [j67]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: 1-10 (2022) - [c7]Yuanhang Sun, Jianbo Yu:
A weighted nonconvex sparse representation with high-pass filter function for fault diagnosis of rolling bearing. SSIP 2022: 68-73 - 2021
- [j66]Zhuang Ye, Jianbo Yu:
Health condition monitoring of machines based on long short-term memory convolutional autoencoder. Appl. Soft Comput. 107: 107379 (2021) - [j65]Jianbo Yu, Xuefeng Yan:
Deep unLSTM network: Features with memory information extracted from unlabeled data and their application on industrial unsupervised industrial fault detection. Appl. Soft Comput. 108: 107382 (2021) - [j64]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: 107679 (2021) - [j63]Junjie Zhou, Jianbo Yu:
Chisel edge wear measurement of high-speed steel twist drills based on machine vision. Comput. Ind. 128: 103436 (2021) - [j62]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: 104387 (2021) - [j61]Zhuang Ye, Jianbo Yu:
AKRNet: A novel convolutional neural network with attentive kernel residual learning for feature learning of gearbox vibration signals. Neurocomputing 447: 23-37 (2021) - [j60]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): 2426-2449 (2021) - [j59]Shijin Wang, Wenli Cui, Feng Chu, Jianbo Yu:
The interval min-max regret knapsack packing-delivery problem. Int. J. Prod. Res. 59(18): 5661-5677 (2021) - [j58]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): 3085-3104 (2021) - [j57]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): 12737-12753 (2021) - [j56]Jianbo Yu, Guoliang Liu:
Extracting and inserting knowledge into stacked denoising auto-encoders. Neural Networks 137: 31-42 (2021) - [j55]Jianbo Yu, Zongli Shen, Xiaoyun Zheng:
Joint Feature and Label Adversarial Network for Wafer Map Defect Recognition. IEEE Trans Autom. Sci. Eng. 18(3): 1341-1353 (2021) - [j54]Jianbo Yu, Jiatong Liu:
Two-Dimensional Principal Component Analysis-Based Convolutional Autoencoder for Wafer Map Defect Detection. IEEE Trans. Ind. Electron. 68(9): 8789-8797 (2021) - [j53]Xun Cheng, Jianbo Yu:
RetinaNet With Difference Channel Attention and Adaptively Spatial Feature Fusion for Steel Surface Defect Detection. IEEE Trans. Instrum. Meas. 70: 1-11 (2021) - [j52]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: 1-11 (2021) - [j51]Mengqi Miao, Changhui Liu, Jianbo Yu:
Adaptive Densely Connected Convolutional Auto-Encoder-Based Feature Learning of Gearbox Vibration Signals. IEEE Trans. Instrum. Meas. 70: 1-11 (2021) - [j50]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: 1-14 (2021) - [j49]Yuanhang Sun, Jianbo Yu:
Fault Detection of Rolling Bearing Using Sparse Representation-Based Adjacent Signal Difference. IEEE Trans. Instrum. Meas. 70: 1-16 (2021) - [j48]Yuanhang Sun, Jianbo Yu:
An Adaptive Weighted Adjacent Difference Sparse Representation for Bearing Fault Diagnosis. IEEE Trans. Instrum. Meas. 70: 1-9 (2021) - [j47]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: 1-15 (2021) - [j46]Jianbo Yu, Xingkang Zhou, Liang Lu, Zhihong Zhao:
Multiscale Dynamic Fusion Global Sparse Network for Gearbox Fault Diagnosis. IEEE Trans. Instrum. Meas. 70: 1-11 (2021) - 2020
- [j45]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: 20439-20448 (2020) - [j44]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: 106525 (2020) - [j43]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: 106238 (2020) - [j42]Shumei Chen, Jianbo Yu, Shijin Wang:
Monitoring of complex profiles based on deep stacked denoising autoencoders. Comput. Ind. Eng. 143: 106402 (2020) - [j41]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: 106838 (2020) - [j40]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: 104918 (2020) - [j39]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): 2283-2314 (2020) - [j38]Jianbo Yu, Guoliang Liu:
Knowledge extraction and insertion to deep belief network for gearbox fault diagnosis. Knowl. Based Syst. 197: 105883 (2020) - [j37]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): 6009-6024 (2020) - [j36]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): 3233 (2020) - [j35]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): 8917-8936 (2020) - [j34]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): 3998-4007 (2020) - [j33]Jianbo Yu, Xingkang Zhou:
One-Dimensional Residual Convolutional Autoencoder Based Feature Learning for Gearbox Fault Diagnosis. IEEE Trans. Ind. Informatics 16(10): 6347-6358 (2020)
2010 – 2019
- 2019
- [j32]Jianbo Yu, Peng Zhu:
Weighted Self-Regulation Complex Network-Based Variation Modeling and Error Source Diagnosis of Hybrid Multistage Machining Processes. IEEE Access 7: 36033-36044 (2019) - [j31]Jianbo Yu, Tianzhong Hu, Haiqiang Liu:
A New Morphological Filter for Fault Feature Extraction of Vibration Signals. IEEE Access 7: 53743-53753 (2019) - [j30]Jianbo Yu:
A selective deep stacked denoising autoencoders ensemble with negative correlation learning for gearbox fault diagnosis. Comput. Ind. 108: 62-72 (2019) - [j29]Jianbo Yu, Xiaoyun Zheng, Jiatong Liu:
Stacked convolutional sparse denoising auto-encoder for identification of defect patterns in semiconductor wafer map. Comput. Ind. 109: 121-133 (2019) - [j28]Jianbo Yu:
Manifold regularized stacked denoising autoencoders with feature selection. Neurocomputing 358: 235-245 (2019) - [j27]Jianbo Yu:
Evolutionary manifold regularized stacked denoising autoencoders for gearbox fault diagnosis. Knowl. Based Syst. 178: 111-122 (2019) - [j26]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): 204-223 (2019) - [j25]Shumei Chen, Jianbo Yu:
Deep recurrent neural network-based residual control chart for autocorrelated processes. Qual. Reliab. Eng. Int. 35(8): 2687-2708 (2019) - [c6]Peng Guo, Jianbo Yu:
Optimal Control of Blank Holder Force Based on Deep Reinforcement Learning. IEEM 2019: 1466-1470 - [c5]Zongli Shen, Jianbo Yu:
Wafer Map Defect Recognition Based on Deep Transfer Learning. IEEM 2019: 1568-1572 - 2018
- [j24]Jianbo Yu:
Tool condition prognostics using logistic regression with penalization and manifold regularization. Appl. Soft Comput. 64: 454-467 (2018) - [j23]Jianbo Yu:
State of health prediction of lithium-ion batteries: Multiscale logic regression and Gaussian process regression ensemble. Reliab. Eng. Syst. Saf. 174: 82-95 (2018) - [j22]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): 1579-1592 (2018) - 2017
- [j21]Chengze Li, Haoyu Wang, Junfeng Wang, Qi Li, Jianbo Yu, Jingyi Guo, Guoai Xu, Yanhui Guo:
CRSPR: PageRank for Android Apps. IEEE Access 5: 18004-18015 (2017) - [j20]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): 3148-3159 (2017) - 2015
- [j19]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): 2937-2949 (2015) - 2014
- [j18]Jianbo Yu:
Health Degradation Detection and Monitoring of Lithium-Ion Battery Based on Adaptive Learning Method. IEEE Trans. Instrum. Meas. 63(7): 1709-1721 (2014) - 2013
- [j17]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): 1193-1205 (2013) - 2012
- [j16]Jianbo Yu:
Local and Nonlocal Preserving Projection for Bearing Defect Classification and Performance Assessment. IEEE Trans. Ind. Electron. 59(5): 2363-2376 (2012) - [j15]Jianbo Yu:
Health Condition Monitoring of Machines Based on Hidden Markov Model and Contribution Analysis. IEEE Trans. Instrum. Meas. 61(8): 2200-2211 (2012) - [c4]Chunhua Hu, Ren He, Runcai Wang, Jianbo Yu:
Fault Prediction and Fault-Tolerant of Lithium-ion Batteries Temperature Failure for Electric Vehicle. ICDMA 2012: 410-413 - 2011
- [j14]Jianbo Yu:
A hybrid feature selection scheme and self-organizing map model for machine health assessment. Appl. Soft Comput. 11(5): 4041-4054 (2011) - [j13]Jianbo Yu:
Pattern recognition of manufacturing process signals using Gaussian mixture models-based recognition systems. Comput. Ind. Eng. 61(3): 881-890 (2011) - [j12]Jianbo Yu:
Bearing performance degradation assessment using locality preserving projections. Expert Syst. Appl. 38(6): 7440-7450 (2011) - [j11]Jianbo Yu:
Online tool wear prediction in drilling operations using selective artificial neural network ensemble model. Neural Comput. Appl. 20(4): 473-485 (2011) - 2010
- [j10]Shijin Wang, Jianbo Yu:
An effective heuristic for flexible job-shop scheduling problem with maintenance activities. Comput. Ind. Eng. 59(3): 436-447 (2010) - [j9]Bin Wu, Jianbo Yu:
A neural network ensemble model for on-line monitoring of process mean and variance shifts in correlated processes. Expert Syst. Appl. 37(6): 4058-4065 (2010) - [c3]Bin Wu, Jianbo Yu:
A Neural Network-Based On-line Monitoring Model of Process Mean and Variance Shifts. ICEE 2010: 2615-2618
2000 – 2009
- 2009
- [j8]Jianbo Yu, Shijin Wang:
Using Minimum Quantization Error chart for the monitoring of process states in multivariate manufacturing processes. Comput. Ind. Eng. 57(4): 1300-1312 (2009) - [j7]Jianbo Yu, Lifeng Xi, Xiaojun Zhou:
Identifying source(s) of out-of-control signals in multivariate manufacturing processes using selective neural network ensemble. Eng. Appl. Artif. Intell. 22(1): 141-152 (2009) - [j6]Jianbo Yu, Lifeng Xi:
A neural network ensemble-based model for on-line monitoring and diagnosis of out-of-control signals in multivariate manufacturing processes. Expert Syst. Appl. 36(1): 909-921 (2009) - 2008
- [j5]Jianbo Yu, Lifeng Xi, Xiaojun Zhou:
Intelligent monitoring and diagnosis of manufacturing processes using an integrated approach of KBANN and GA. Comput. Ind. 59(5): 489-501 (2008) - [j4]Jianbo Yu, Lifeng Xi:
Intelligent monitoring and diagnosis of manufacturing process using an integrated approach of neural network ensemble and genetic algorithm. Int. J. Comput. Appl. Technol. 33(2/3): 109-119 (2008) - [j3]Bin Wu, Lifeng Xi, Jianbo Yu, Bing-Hai Zhou:
Intelligently reconfigurable manufacturing control system based on knowledge function block. Int. J. Comput. Appl. Technol. 33(2/3): 146-156 (2008) - [j2]Jianbo Yu, Shijin Wang, Lifeng Xi:
Evolving artificial neural networks using an improved PSO and DPSO. Neurocomputing 71(4-6): 1054-1060 (2008) - [c2]Bin Wu, Jianbo Yu, Bing-Hai Zhou, Lifeng Xi:
An Integrated Framework for Intelligently Reconfigurable Manufacturing Control System Based on Knowledge Function Block. FSKD (5) 2008: 448-452 - 2007
- [j1]Jianbo Yu, Lifeng Xi, Shijin Wang:
An Improved Particle Swarm Optimization for Evolving Feedforward Artificial Neural Networks. Neural Process. Lett. 26(3): 217-231 (2007) - [c1]Jianbo Yu, Lifeng Xi, Bin Wu:
A Neural Network Ensemble Approach for the Recognition of SPC Chart Patterns. ICNC (2) 2007: 575-579
Coauthor Index
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