Jianbo Yu

发表

Robust (min-max regret) single machine scheduling with interval processing times and total tardiness criterion

Feng Chu, Jatinder N. D. Gupta, Shijin Wang, 2020, Comput. Ind. Eng..

Identical parallel machine scheduling with assurance of maximum waiting time for an emergency job

Shijin Wang, Jianbo Yu, Ruochen Wu, 2020, Comput. Oper. Res..

Manifold regularized stacked autoencoders-based feature learning for fault detection in industrial processes

Jianbo Yu, Chengyi Zhang, Chengyi Zhang, 2020 .

Adaptive hidden Markov model-based online learning framework for bearing faulty detection and performance degradation monitoring

Jianbo Yu, Jianbo Yu, 2017 .

Multiscale intelligent fault detection system based on agglomerative hierarchical clustering using stacked denoising autoencoder with temporal information

Xuefeng Yan, Jianbo Yu, Xue-feng Yan, 2020, Appl. Soft Comput..

Gaussian mixture models-based control chart pattern recognition

Jianbo Yu, Jianbo Yu, 2012 .

Machine Tool Condition Monitoring Based on an Adaptive Gaussian Mixture Model

Jianbo Yu, Jianbo Yu, Jianbo Yu, 2012 .

Constrained Oversampling: An Oversampling Approach to Reduce Noise Generation in Imbalanced Datasets With Class Overlapping

Sun Jin, Changlin Yang, Jianbo Yu, 2022, IEEE Access.

An energy-efficient two-stage hybrid flow shop scheduling problem in a glass production

Shijin Wang, Jianbo Yu, Xiaodong Wang, 2019, Int. J. Prod. Res..

Variable neighborhood search-based methods for integrated hybrid flow shop scheduling with distribution

Feng Chu, Shijin Wang, Jianbo Yu, 2019, Soft Comput..

A nonlinear probabilistic method and contribution analysis for machine condition monitoring

Jianbo Yu, Jianbo Yu, Jianbo Yu, 2013 .

Research on the Framework Construction of Three-dimensional Cost Standard System of Power Grid Engineering based on the Computer Technology

Jianbo Yu, Anli Sun, Chun Xiang, 2020 .

One-Dimensional Residual Convolutional Autoencoder Based Feature Learning for Gearbox Fault Diagnosis

Jianbo Yu, Xingkang Zhou, Jianbo Yu, 2020, IEEE Transactions on Industrial Informatics.

Manifold regularized stacked denoising autoencoders with feature selection

Jianbo Yu, Jianbo Yu, 2019, Neurocomputing.

An improved formulation and efficient heuristics for the discrete parallel-machine makespan ScheLoc problem

Feng Chu, Xin Liu, Shijin Wang, 2020, Comput. Ind. Eng..

A similarity-based prognostics approach for Remaining Useful Life estimation of engineered systems

Jianbo Yu, Tianyi Wang, J. Lee, 2008, 2008 International Conference on Prognostics and Health Management.

Local and global principal component analysis for process monitoring

Jianbo Yu, Jianbo Yu, 2012 .

One-dimensional convolutional auto-encoder-based feature learning for fault diagnosis of multivariate processes

Shijin Wang, Jianbo Yu, Shumei Chen, 2020 .

Research and Application of Building Monitoring Platform Based On the Internet of Things

Jincheng Wu, Jianbo Yu, 2014 .

A deep autoencoder feature learning method for process pattern recognition

Shijin Wang, Jianbo Yu, Xiaoyun Zheng, 2019, Journal of Process Control.

Whole Process Monitoring Based on Unstable Neuron Output Information in Hidden Layers of Deep Belief Network

Xuefeng Yan, Jianbo Yu, Xue-feng Yan, 2019, IEEE Transactions on Cybernetics.

The interval min–max regret knapsack packing-delivery problem

Feng Chu, Shijin Wang, Wenli Cui, 2020, Int. J. Prod. Res..

Process monitoring through manifold regularization-based GMM with global/local information

Jianbo Yu, Jianbo Yu, 2016 .