Minping Jia

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 65

Top Topics

Rotating Machinery

Fault Diagnosis

Domain Adaptation

Top Venues

Reliab. Eng. Syst. Saf.

IEEE Trans. Instrum. Meas.

IEEE Trans. Ind. Informatics

Knowl. Based Syst.

Publications

Yudong Cao, Minping Jia, Xiaoli Zhao, Xiaoan Yan, Ke Feng
Cost-sensitive learning considering label and feature distribution consistency: A novel perspective for health prognosis of rotating machinery with imbalanced data. Expert Syst. Appl. 250 (2024)
Yudong Cao, Jichao Zhuang, Qiuhua Miao, Minping Jia, Ke Feng, Xiaoli Zhao, Xiaoan Yan, Peng Ding
Source-free domain adaptation for transferable remaining useful life prediction of machine considering source data absence. Reliab. Eng. Syst. Saf. 246 (2024)
Yudong Cao, Qing Ni, Minping Jia, Xiaoli Zhao, Xiaoan Yan
Online Knowledge Distillation for Machine Health Prognosis Considering Edge Deployment. IEEE Internet Things J. 11 (16) (2024)
Cheng Yang, Qingbo He, Zhinong Li, Minping Jia, Moncef Gabbouj, Zhike Peng
Multichannel Fault Diagnosis of Planetary Gearbox via Difference-Average Symbol Transition Entropy and Twin Support Higher-Order Tensor Machine. IEEE Trans. Instrum. Meas. 73 (2024)
Yifei Ding, Minping Jia, Yudong Cao, Xiaoan Yan, Xiaoli Zhao, Chi-Guhn Lee
Unsupervised Fault Detection With Deep One-Class Classification and Manifold Distribution Alignment. IEEE Trans. Ind. Informatics 20 (2) (2024)
Jichao Zhuang, Yuejian Chen, Xiaoli Zhao, Minping Jia, Ke Feng
A Graph-Embedded Subdomain Adaptation Approach for Remaining Useful Life Prediction of Industrial IoT Systems. IEEE Internet Things J. 11 (13) (2024)
Peng Ding, Jun Xia, Xiaoli Zhao, Minping Jia
Graph structure few-shot prognostics for machinery remaining useful life prediction under variable operating conditions. Adv. Eng. Informatics 60 (2024)
Jichao Zhuang, Jianhai Yan, Cheng-Geng Huang, Minping Jia
Residual attention temporal recurrent network for fault diagnosis of gearboxes under limited labeled data. Eng. Appl. Artif. Intell. 129 (2024)
Jichao Zhuang, Yudong Cao, Yifei Ding, Minping Jia, Ke Feng
An autoregressive model-based degradation trend prognosis considering health indicators with multiscale attention information. Eng. Appl. Artif. Intell. 131 (2024)
Yifei Ding, Yudong Cao, Minping Jia, Peng Ding, Xiaoli Zhao, Chi-Guhn Lee
Deep temporal-spectral domain adaptation for bearing fault diagnosis. Knowl. Based Syst. 299 (2024)
Yudong Cao, Minping Jia, Xiaoli Zhao, Xiaoan Yan, Ke Feng
Complex augmented representation network for transferable health prognosis of rolling bearing considering dynamic covariate shift. Reliab. Eng. Syst. Saf. 241 (2024)
Yudong Cao, Jichao Zhuang, Minping Jia, Xiaoli Zhao, Xiaoan Yan, Zheng Liu
Picture-in-Picture Strategy-Based Complex Graph Neural Network for Remaining Useful Life Prediction of Rotating Machinery. IEEE Trans. Instrum. Meas. 72 (2023)
Yifei Ding, Minping Jia, Jichao Zhuang, Yudong Cao, Xiaoli Zhao, Chi-Guhn Lee
Deep imbalanced domain adaptation for transfer learning fault diagnosis of bearings under multiple working conditions. Reliab. Eng. Syst. Saf. 230 (2023)
Jichao Zhuang, Yudong Cao, Minping Jia, Xiaoli Zhao, Qingjin Peng
Fault diagnosis of bearings using a two-stage transfer alignment approach with semantic consistency and entropy loss. Expert Syst. Appl. 226 (2023)
Xiaoli Zhao, Xingjun Zhu, Jianyong Yao, Wenxiang Deng, Yudong Cao, Peng Ding, Minping Jia, Haidong Shao
Intelligent Health Assessment of Aviation Bearing Based on Deep Transfer Graph Convolutional Networks under Large Speed Fluctuations. Sensors 23 (9) (2023)
Xiaoli Zhao, Jianyong Yao, Wenxiang Deng, Peng Ding, Yifei Ding, Minping Jia, Zheng Liu
Intelligent Fault Diagnosis of Gearbox Under Variable Working Conditions With Adaptive Intraclass and Interclass Convolutional Neural Network. IEEE Trans. Neural Networks Learn. Syst. 34 (9) (2023)
Jichao Zhuang, Yudong Cao, Minping Jia, Xiaoli Zhao, Qingjin Peng
Remaining useful life prediction of bearings using multi-source adversarial online regression under online unknown conditions. Expert Syst. Appl. 227 (2023)
Yudong Cao, Minping Jia, Peng Ding, Xiaoli Zhao, Yifei Ding
Incremental Learning for Remaining Useful Life Prediction via Temporal Cascade Broad Learning System With Newly Acquired Data. IEEE Trans. Ind. Informatics 19 (4) (2023)
Yifei Ding, Minping Jia, Yudong Cao, Peng Ding, Xiaoli Zhao, Chi-Guhn Lee
Domain generalization via adversarial out-domain augmentation for remaining useful life prediction of bearings under unseen conditions. Knowl. Based Syst. 261 (2023)
Yudong Cao, Minping Jia, Xiaoli Zhao, Xiaoan Yan, Zheng Liu
Semi-supervised machinery health assessment framework via temporal broad learning system embedding manifold regularization with unlabeled data. Expert Syst. Appl. 222 (2023)
Peng Ding, Xiaoli Zhao, Haidong Shao, Minping Jia
Machinery cross domain degradation prognostics considering compound domain shifts. Reliab. Eng. Syst. Saf. 239 (2023)
Yudong Cao, Minping Jia, Jichao Zhuang
Health Trend Prediction of Rolling Bearings using Transferable Autoregressive Recurrent Adaptation Approach. DSA (2023)
Lin Zhu, Junhao Wang, Jianchun Qiu, Min Chen, Minping Jia
Sensitivity influence of initial crack characteristics on structural damage propagation based on the VB-PCE model and POD reduced order algorithm. Reliab. Eng. Syst. Saf. 240 (2023)
Yifei Ding, Jichao Zhuang, Peng Ding, Minping Jia
Self-supervised pretraining via contrast learning for intelligent incipient fault detection of bearings. Reliab. Eng. Syst. Saf. 218 (Part) (2022)
Jichao Zhuang, Minping Jia, Xiaoli Zhao
An adversarial transfer network with supervised metric for remaining useful life prediction of rolling bearing under multiple working conditions. Reliab. Eng. Syst. Saf. 225 (2022)
Yifei Ding, Minping Jia, Jichao Zhuang, Peng Ding
Deep imbalanced regression using cost-sensitive learning and deep feature transfer for bearing remaining useful life estimation. Appl. Soft Comput. 127 (2022)
Peng Ding, Minping Jia
Mechatronics Equipment Performance Degradation Assessment Using Limited and Unlabeled Data. IEEE Trans. Ind. Informatics 18 (4) (2022)
Cheng Yang, Moncef Gabbouj, Minping Jia, Zhinong Li
Hierarchical Symbol Transition Entropy: A Novel Feature Extractor for Machinery Health Monitoring. IEEE Trans. Ind. Informatics 18 (9) (2022)
Xiaoan Yan, Tao Liu, Mengyuan Fu, Maoyou Ye, Minping Jia
Bearing Fault Feature Extraction Method Based on Enhanced Differential Product Weighted Morphological Filtering. Sensors 22 (16) (2022)
Yifei Ding, Minping Jia
Convolutional Transformer: An Enhanced Attention Mechanism Architecture for Remaining Useful Life Estimation of Bearings. IEEE Trans. Instrum. Meas. 71 (2022)
Jichao Zhuang, Minping Jia, Yudong Cao, Xiaoli Zhao
Semi-supervised double attention guided assessment approach for remaining useful life of rotating machinery. Reliab. Eng. Syst. Saf. 226 (2022)
Peng Ding, Minping Jia, Jichao Zhuang, Yifei Ding, Yudong Cao, Xiaoli Zhao, Chi-Guhn Lee
Multiobjective Evolution Enhanced Collaborative Health Monitoring and Prognostics: A Case Study of Bearing Life Test With Three-Axis Acceleration Signals. IEEE Trans. Instrum. Meas. 71 (2022)
Peng Ding, Minping Jia, Yifei Ding, Yudong Cao, Xiaoli Zhao
Intelligent machinery health prognostics under variable operation conditions with limited and variable-length data. Adv. Eng. Informatics 53 (2022)
Xiaolan Yang, Yuan Gao, Minping Jia
Experiment and analysis on chaotic characteristics vibration mill with variable rotational speed. Int. J. Model. Simul. Sci. Comput. 12 (6) (2021)
Yifei Ding, Minping Jia, Yudong Cao
Remaining Useful Life Estimation Under Multiple Operating Conditions via Deep Subdomain Adaptation. IEEE Trans. Instrum. Meas. 70 (2021)
Xiaoli Zhao, Minping Jia, Zheng Liu
Semisupervised Graph Convolution Deep Belief Network for Fault Diagnosis of Electormechanical System With Limited Labeled Data. IEEE Trans. Ind. Informatics 17 (8) (2021)
Peng Ding, Minping Jia, Yifei Ding, Xiaoli Zhao
Statistical Alignment-Based Metagated Recurrent Unit for Cross-Domain Machinery Degradation Trend Prognostics Using Limited Data. IEEE Trans. Instrum. Meas. 70 (2021)
Maoyou Ye, Xiaoan Yan, Minping Jia
Rolling Bearing Fault Diagnosis Based on VMD-MPE and PSO-SVM. Entropy 23 (6) (2021)
Xiaoli Zhao, Minping Jia, Zheng Liu
Semisupervised Deep Sparse Auto-Encoder With Local and Nonlocal Information for Intelligent Fault Diagnosis of Rotating Machinery. IEEE Trans. Instrum. Meas. 70 (2021)
Jichao Zhuang, Minping Jia, Yifei Ding, Peng Ding
Temporal convolution-based transferable cross-domain adaptation approach for remaining useful life estimation under variable failure behaviors. Reliab. Eng. Syst. Saf. 216 (2021)
Xiaoli Zhao, Minping Jia, Junchi Bin, Teng Wang, Zheng Liu
Multiple-Order Graphical Deep Extreme Learning Machine for Unsupervised Fault Diagnosis of Rolling Bearing. IEEE Trans. Instrum. Meas. 70 (2021)
Xiaoan Yan, Yadong Xu, Minping Jia
Intelligent Fault Diagnosis of Rolling-Element Bearings Using a Self-Adaptive Hierarchical Multiscale Fuzzy Entropy. Entropy 23 (9) (2021)
Peng Ding, Minping Jia, Xiaoli Zhao
Meta deep learning based rotating machinery health prognostics toward few-shot prognostics. Appl. Soft Comput. 104 (2021)
Yudong Cao, Yifei Ding, Minping Jia, Rushuai Tian
A novel temporal convolutional network with residual self-attention mechanism for remaining useful life prediction of rolling bearings. Reliab. Eng. Syst. Saf. 215 (2021)
Yifei Ding, Peng Ding, Minping Jia
A Novel Remaining Useful Life Prediction Method of Rolling Bearings Based on Deep Transfer Auto-Encoder. IEEE Trans. Instrum. Meas. 70 (2021)
Yifei Ding, Minping Jia, Qiuhua Miao, Yudong Cao
A novel Time-frequency Transformer and its Application in Fault Diagnosis of Rolling Bearings. CoRR (2021)
Yifei Ding, Minping Jia, Qiuhua Miao, Peng Huang
Remaining useful life estimation using deep metric transfer learning for kernel regression. Reliab. Eng. Syst. Saf. 212 (2021)
Xiaoan Yan, Daoming She, Yadong Xu, Minping Jia
Application of Generalized Composite Multiscale Lempel-Ziv Complexity in Identifying Wind Turbine Gearbox Faults. Entropy 23 (11) (2021)
Xiaoan Yan, Daoming She, Yadong Xu, Minping Jia
Deep regularized variational autoencoder for intelligent fault diagnosis of rotor-bearing system within entire life-cycle process. Knowl. Based Syst. 226 (2021)
Xiaoli Zhao, Minping Jia, Zheng Liu
Fault Diagnosis Framework of Rolling Bearing Using Adaptive Sparse Contrative Auto-Encoder With Optimized Unsupervised Extreme Learning Machine. IEEE Access 8 (2020)
Peng Ding, Minping Jia
Intelligent health evaluation of rolling bearings based on subspace meta-learning. INDIN (2020)
Xiaoan Yan, Ying Liu, Minping Jia
A Fault Diagnosis Approach for Rolling Bearing Integrated SGMD, IMSDE and Multiclass Relevance Vector Machine. Sensors 20 (15) (2020)
Xiaoan Yan, Ying Liu, Peng Ding, Minping Jia
Fault Diagnosis of Rolling-Element Bearing Using Multiscale Pattern Gradient Spectrum Entropy Coupled with Laplacian Score. Complex. 2020 (2020)
Xiaoan Yan, Ying Liu, Minping Jia
Multiscale cascading deep belief network for fault identification of rotating machinery under various working conditions. Knowl. Based Syst. 193 (2020)
Xiaoan Yan, Minping Jia
Intelligent fault diagnosis of rotating machinery using improved multiscale dispersion entropy and mRMR feature selection. Knowl. Based Syst. 163 (2019)
Xiaoli Zhao, Minping Jia
A new Local-Global Deep Neural Network and its application in rotating machinery fault diagnosis. Neurocomputing 366 (2019)
Xiaoan Yan, Ying Liu, Minping Jia
A Feature Selection Framework-Based Multiscale Morphological Analysis Algorithm for Fault Diagnosis of Rolling Element Bearing. IEEE Access 7 (2019)
Xiaoan Yan, Ying Liu, Minping Jia, Yinlong Zhu
A Multi-Stage Hybrid Fault Diagnosis Approach for Rolling Element Bearing Under Various Working Conditions. IEEE Access 7 (2019)
Xiaoan Yan, Minping Jia
A novel optimized SVM classification algorithm with multi-domain feature and its application to fault diagnosis of rolling bearing. Neurocomputing 313 (2018)
Xiaoli Zhao, Minping Jia
Fault diagnosis of rolling bearing based on feature reduction with global-local margin Fisher analysis. Neurocomputing 315 (2018)
Kang He, Minping Jia, Conghu Liu
A Review of Optimal Sensor Deployment to Diagnose Manufacturing Systems. IEEE Access 6 (2018)
Kang He, Zhuanzhe Zhao, Minping Jia, Conghu Liu
Dynamic Bayesian Network-Based Approach by Integrating Sensor Deployment for Machining Process Monitoring. IEEE Access 6 (2018)
Zhuanzhe Zhao, Qingsong Xu, Minping Jia
Improved shuffled frog leaping algorithm-based BP neural network and its application in bearing early fault diagnosis. Neural Comput. Appl. 27 (2) (2016)
Kang He, Minping Jia, Qingsong Xu
Optimal Sensor Deployment for Manufacturing Process Monitoring Based on Quantitative Cause-Effect Graph. IEEE Trans Autom. Sci. Eng. 13 (2) (2016)
Zhuanzhe Zhao, Qingsong Xu, Minping Jia
Sensor network optimization of gearbox based on dependence matrix and improved discrete shuffled frog leaping algorithm. Nat. Comput. 15 (4) (2016)
Kang He, Qingsong Xu, Minping Jia
Modeling and Predicting Surface Roughness in Hard Turning Using a Bayesian Inference-Based HMM-SVM Model. IEEE Trans Autom. Sci. Eng. 12 (3) (2015)
Qingsong Xu, Minping Jia
Model Reference Adaptive Control With Perturbation Estimation for a Micropositioning System. IEEE Trans. Control. Syst. Technol. 22 (1) (2014)
Peng Huang, Minping Jia, Binglin Zhong
A Study on the Technique of Measuring the Fill Level Based on the Vibration Signal of the Ball Mill Shell. CSIE (6) (2009)
Quansheng Jiang, Minping Jia
Supervised Laplacian Eigenmaps for Machinery Fault Classification. CSIE (7) (2009)