A Study on the Technique of Measuring the Fill Level Based on the Vibration Signal of the Ball Mill Shell. - Peng Huang; Minping Jia; Binglin Zhong (CSIE (6), 2009)

Supervised Laplacian Eigenmaps for Machinery Fault Classification. - Quansheng Jiang; Minping Jia (CSIE (7), 2009)

Model Reference Adaptive Control With Perturbation Estimation for a Micropositioning System. - Qingsong Xu; Minping Jia (IEEE Trans. Control. Syst. Technol., 2014)

Modeling and Predicting Surface Roughness in Hard Turning Using a Bayesian Inference-Based HMM-SVM Model. - Kang He 003; Qingsong Xu; Minping Jia (IEEE Trans Autom. Sci. Eng., 2015)

Sensor network optimization of gearbox based on dependence matrix and improved discrete shuffled frog leaping algorithm. - Zhuanzhe Zhao; Qingsong Xu; Minping Jia (Nat. Comput., 2016)

Improved shuffled frog leaping algorithm-based BP neural network and its application in bearing early fault diagnosis. - Zhuanzhe Zhao; Qingsong Xu; Minping Jia (Neural Comput. Appl., 2016)

Optimal Sensor Deployment for Manufacturing Process Monitoring Based on Quantitative Cause-Effect Graph. - Kang He 003; Minping Jia; Qingsong Xu (IEEE Trans Autom. Sci. Eng., 2016)

A Review of Optimal Sensor Deployment to Diagnose Manufacturing Systems. - Kang He 003; Minping Jia; Conghu Liu (IEEE Access, 2018)

Dynamic Bayesian Network-Based Approach by Integrating Sensor Deployment for Machining Process Monitoring. - Kang He 003; Zhuanzhe Zhao; Minping Jia; Conghu Liu (IEEE Access, 2018)

A novel optimized SVM classification algorithm with multi-domain feature and its application to fault diagnosis of rolling bearing. - Xiaoan Yan; Minping Jia (Neurocomputing, 2018)

Fault diagnosis of rolling bearing based on feature reduction with global-local margin Fisher analysis. - Xiaoli Zhao; Minping Jia (Neurocomputing, 2018)

A Feature Selection Framework-Based Multiscale Morphological Analysis Algorithm for Fault Diagnosis of Rolling Element Bearing. - Xiaoan Yan; Ying Liu; Minping Jia (IEEE Access, 2019)

A Multi-Stage Hybrid Fault Diagnosis Approach for Rolling Element Bearing Under Various Working Conditions. - Xiaoan Yan; Ying Liu; Minping Jia; Yinlong Zhu (IEEE Access, 2019)

A new Local-Global Deep Neural Network and its application in rotating machinery fault diagnosis. - Xiaoli Zhao; Minping Jia (Neurocomputing, 2019)

Intelligent fault diagnosis of rotating machinery using improved multiscale dispersion entropy and mRMR feature selection. - Xiaoan Yan; Minping Jia (Knowl. Based Syst., 2019)

Intelligent health evaluation of rolling bearings based on subspace meta-learning. - Peng Ding 002; Minping Jia (INDIN, 2020)

Fault Diagnosis Framework of Rolling Bearing Using Adaptive Sparse Contrative Auto-Encoder With Optimized Unsupervised Extreme Learning Machine. - Xiaoli Zhao; Minping Jia; Zheng Liu 002 (IEEE Access, 2020)

Fault Diagnosis of Rolling-Element Bearing Using Multiscale Pattern Gradient Spectrum Entropy Coupled with Laplacian Score. - Xiaoan Yan; Ying Liu; Peng Ding 002; Minping Jia (Complex., 2020)

Multiscale cascading deep belief network for fault identification of rotating machinery under various working conditions. - Xiaoan Yan; Ying Liu; Minping Jia (Knowl. Based Syst., 2020)

A Fault Diagnosis Approach for Rolling Bearing Integrated SGMD, IMSDE and Multiclass Relevance Vector Machine. - Xiaoan Yan; Ying Liu; Minping Jia (Sensors, 2020)

Meta deep learning based rotating machinery health prognostics toward few-shot prognostics. - Peng Ding 002; Minping Jia; Xiaoli Zhao (Appl. Soft Comput., 2021)

A novel Time-frequency Transformer and its Application in Fault Diagnosis of Rolling Bearings. - Yifei Ding; Minping Jia; Qiuhua Miao; Yudong Cao (CoRR, 2021)

Application of Generalized Composite Multiscale Lempel-Ziv Complexity in Identifying Wind Turbine Gearbox Faults. - Xiaoan Yan; Daoming She; Yadong Xu; Minping Jia (Entropy, 2021)

Intelligent Fault Diagnosis of Rolling-Element Bearings Using a Self-Adaptive Hierarchical Multiscale Fuzzy Entropy. - Xiaoan Yan; Yadong Xu; Minping Jia (Entropy, 2021)

Rolling Bearing Fault Diagnosis Based on VMD-MPE and PSO-SVM. - Maoyou Ye; Xiaoan Yan; Minping Jia (Entropy, 2021)

Experiment and analysis on chaotic characteristics vibration mill with variable rotational speed. - Xiaolan Yang; Yuan Gao; Minping Jia (Int. J. Model. Simul. Sci. Comput., 2021)

Deep regularized variational autoencoder for intelligent fault diagnosis of rotor-bearing system within entire life-cycle process. - Xiaoan Yan; Daoming She; Yadong Xu; Minping Jia (Knowl. Based Syst., 2021)

A novel temporal convolutional network with residual self-attention mechanism for remaining useful life prediction of rolling bearings. - Yudong Cao; Yifei Ding; Minping Jia; Rushuai Tian (Reliab. Eng. Syst. Saf., 2021)

Remaining useful life estimation using deep metric transfer learning for kernel regression. - Yifei Ding; Minping Jia; Qiuhua Miao; Peng Huang (Reliab. Eng. Syst. Saf., 2021)

Temporal convolution-based transferable cross-domain adaptation approach for remaining useful life estimation under variable failure behaviors. - Jichao Zhuang; Minping Jia; Yifei Ding; Peng Ding 002 (Reliab. Eng. Syst. Saf., 2021)

Semisupervised Graph Convolution Deep Belief Network for Fault Diagnosis of Electormechanical System With Limited Labeled Data. - Xiaoli Zhao; Minping Jia; Zheng Liu 002 (IEEE Trans. Ind. Informatics, 2021)

A Novel Remaining Useful Life Prediction Method of Rolling Bearings Based on Deep Transfer Auto-Encoder. - Yifei Ding; Peng Ding 002; Minping Jia (IEEE Trans. Instrum. Meas., 2021)

Remaining Useful Life Estimation Under Multiple Operating Conditions via Deep Subdomain Adaptation. - Yifei Ding; Minping Jia; Yudong Cao (IEEE Trans. Instrum. Meas., 2021)

Statistical Alignment-Based Metagated Recurrent Unit for Cross-Domain Machinery Degradation Trend Prognostics Using Limited Data. - Peng Ding 002; Minping Jia; Yifei Ding; Xiaoli Zhao (IEEE Trans. Instrum. Meas., 2021)

Semisupervised Deep Sparse Auto-Encoder With Local and Nonlocal Information for Intelligent Fault Diagnosis of Rotating Machinery. - Xiaoli Zhao; Minping Jia; Zheng Liu 002 (IEEE Trans. Instrum. Meas., 2021)

Multiple-Order Graphical Deep Extreme Learning Machine for Unsupervised Fault Diagnosis of Rolling Bearing. - Xiaoli Zhao; Minping Jia; Junchi Bin; Teng Wang 002; Zheng Liu 002 (IEEE Trans. Instrum. Meas., 2021)

Intelligent machinery health prognostics under variable operation conditions with limited and variable-length data. - Peng Ding 002; Minping Jia; Yifei Ding; Yudong Cao; Xiaoli Zhao (Adv. Eng. Informatics, 2022)

Deep imbalanced regression using cost-sensitive learning and deep feature transfer for bearing remaining useful life estimation. - Yifei Ding; Minping Jia; Jichao Zhuang; Peng Ding 002 (Appl. Soft Comput., 2022)

Self-supervised pretraining via contrast learning for intelligent incipient fault detection of bearings. - Yifei Ding; Jichao Zhuang; Peng Ding 002; Minping Jia (Reliab. Eng. Syst. Saf., 2022)

Semi-supervised double attention guided assessment approach for remaining useful life of rotating machinery. - Jichao Zhuang; Minping Jia; Yudong Cao; Xiaoli Zhao (Reliab. Eng. Syst. Saf., 2022)

An adversarial transfer network with supervised metric for remaining useful life prediction of rolling bearing under multiple working conditions. - Jichao Zhuang; Minping Jia; Xiaoli Zhao (Reliab. Eng. Syst. Saf., 2022)

Bearing Fault Feature Extraction Method Based on Enhanced Differential Product Weighted Morphological Filtering. - Xiaoan Yan; Tao Liu; Mengyuan Fu; Maoyou Ye; Minping Jia (Sensors, 2022)

Mechatronics Equipment Performance Degradation Assessment Using Limited and Unlabeled Data. - Peng Ding 002; Minping Jia (IEEE Trans. Ind. Informatics, 2022)

Hierarchical Symbol Transition Entropy: A Novel Feature Extractor for Machinery Health Monitoring. - Cheng Yang; Moncef Gabbouj; Minping Jia; Zhinong Li (IEEE Trans. Ind. Informatics, 2022)

Convolutional Transformer: An Enhanced Attention Mechanism Architecture for Remaining Useful Life Estimation of Bearings. - Yifei Ding; Minping Jia (IEEE Trans. Instrum. Meas., 2022)

Multiobjective Evolution Enhanced Collaborative Health Monitoring and Prognostics: A Case Study of Bearing Life Test With Three-Axis Acceleration Signals. - Peng Ding 002; Minping Jia; Jichao Zhuang; Yifei Ding; Yudong Cao; Xiaoli Zhao; Chi-Guhn Lee (IEEE Trans. Instrum. Meas., 2022)

Health Trend Prediction of Rolling Bearings using Transferable Autoregressive Recurrent Adaptation Approach. - Yudong Cao; Minping Jia; Jichao Zhuang (DSA, 2023)

Domain generalization via adversarial out-domain augmentation for remaining useful life prediction of bearings under unseen conditions. - Yifei Ding; Minping Jia; Yudong Cao; Peng Ding 002; Xiaoli Zhao; Chi-Guhn Lee (Knowl. Based Syst., 2023)

Deep imbalanced domain adaptation for transfer learning fault diagnosis of bearings under multiple working conditions. - Yifei Ding; Minping Jia; Jichao Zhuang; Yudong Cao; Xiaoli Zhao; Chi-Guhn Lee (Reliab. Eng. Syst. Saf., 2023)

Intelligent Health Assessment of Aviation Bearing Based on Deep Transfer Graph Convolutional Networks under Large Speed Fluctuations. - Xiaoli Zhao; Xingjun Zhu; Jianyong Yao; Wenxiang Deng; Yudong Cao; Peng Ding 002; Minping Jia; Haidong Shao (Sensors, 2023)

Picture-in-Picture Strategy-Based Complex Graph Neural Network for Remaining Useful Life Prediction of Rotating Machinery. - Yudong Cao; Jichao Zhuang; Minping Jia; Xiaoli Zhao; Xiaoan Yan; Zheng Liu 002 (IEEE Trans. Instrum. Meas., 2023)

Incremental Learning for Remaining Useful Life Prediction via Temporal Cascade Broad Learning System With Newly Acquired Data. - Yudong Cao; Minping Jia; Peng Ding 002; Xiaoli Zhao; Yifei Ding (IEEE Trans. Ind. Informatics, 2023)

Semi-supervised machinery health assessment framework via temporal broad learning system embedding manifold regularization with unlabeled data. - Yudong Cao; Minping Jia; Xiaoli Zhao; Xiaoan Yan; Zheng Liu 002 (Expert Syst. Appl., 2023)

Fault diagnosis of bearings using a two-stage transfer alignment approach with semantic consistency and entropy loss. - Jichao Zhuang; Yudong Cao; Minping Jia; Xiaoli Zhao; Qingjin Peng (Expert Syst. Appl., 2023)

Intelligent Fault Diagnosis of Gearbox Under Variable Working Conditions With Adaptive Intraclass and Interclass Convolutional Neural Network. - Xiaoli Zhao; Jianyong Yao; Wenxiang Deng; Peng Ding 002; Yifei Ding; Minping Jia; Zheng Liu 002 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Remaining useful life prediction of bearings using multi-source adversarial online regression under online unknown conditions. - Jichao Zhuang; Yudong Cao; Minping Jia; Xiaoli Zhao; Qingjin Peng (Expert Syst. Appl., 2023)

Machinery cross domain degradation prognostics considering compound domain shifts. - Peng Ding 002; Xiaoli Zhao; Haidong Shao; Minping Jia (Reliab. Eng. Syst. Saf., 2023)

Sensitivity influence of initial crack characteristics on structural damage propagation based on the VB-PCE model and POD reduced order algorithm. - Lin Zhu; Junhao Wang; Jianchun Qiu; Min Chen; Minping Jia (Reliab. Eng. Syst. Saf., 2023)

Graph structure few-shot prognostics for machinery remaining useful life prediction under variable operating conditions. - Peng Ding 002; Jun Xia; Xiaoli Zhao; Minping Jia (Adv. Eng. Informatics, 2024)

An autoregressive model-based degradation trend prognosis considering health indicators with multiscale attention information. - Jichao Zhuang; Yudong Cao; Yifei Ding; Minping Jia; Ke Feng (Eng. Appl. Artif. Intell., 2024)

Residual attention temporal recurrent network for fault diagnosis of gearboxes under limited labeled data. - Jichao Zhuang; Jianhai Yan; Cheng-Geng Huang; Minping Jia (Eng. Appl. Artif. Intell., 2024)

Cost-sensitive learning considering label and feature distribution consistency: A novel perspective for health prognosis of rotating machinery with imbalanced data. - Yudong Cao; Minping Jia; Xiaoli Zhao; Xiaoan Yan; Ke Feng (Expert Syst. Appl., 2024)

Online Knowledge Distillation for Machine Health Prognosis Considering Edge Deployment. - Yudong Cao; Qing Ni; Minping Jia; Xiaoli Zhao; Xiaoan Yan (IEEE Internet Things J., 2024)

Deep temporal-spectral domain adaptation for bearing fault diagnosis. - Yifei Ding; Yudong Cao; Minping Jia; Peng Ding 002; Xiaoli Zhao; Chi-Guhn Lee (Knowl. Based Syst., 2024)

Source-free domain adaptation for transferable remaining useful life prediction of machine considering source data absence. - Yudong Cao; Jichao Zhuang; Qiuhua Miao; Minping Jia; Ke Feng; Xiaoli Zhao; Xiaoan Yan; Peng Ding 002 (Reliab. Eng. Syst. Saf., 2024)

Multichannel Fault Diagnosis of Planetary Gearbox via Difference-Average Symbol Transition Entropy and Twin Support Higher-Order Tensor Machine. - Cheng Yang; Qingbo He; Zhinong Li; Minping Jia; Moncef Gabbouj; Zhike Peng (IEEE Trans. Instrum. Meas., 2024)

Complex augmented representation network for transferable health prognosis of rolling bearing considering dynamic covariate shift. - Yudong Cao; Minping Jia; Xiaoli Zhao; Xiaoan Yan; Ke Feng (Reliab. Eng. Syst. Saf., 2024)

Unsupervised Fault Detection With Deep One-Class Classification and Manifold Distribution Alignment. - Yifei Ding; Minping Jia; Yudong Cao; Xiaoan Yan; Xiaoli Zhao; Chi-Guhn Lee (IEEE Trans. Ind. Informatics, 2024)

A Graph-Embedded Subdomain Adaptation Approach for Remaining Useful Life Prediction of Industrial IoT Systems. - Jichao Zhuang; Yuejian Chen; Xiaoli Zhao; Minping Jia; Ke Feng (IEEE Internet Things J., 2024)