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2020 – today
- 2024
[j64]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: 102360 (2024)- [j63]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: 107539 (2024) - [j62]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: 107868 (2024) - [j61]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: 123930 (2024) - [j60]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): 22903-22914 (2024) - [j59]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): 27828-27839 (2024) - [j58]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: 111999 (2024) - [j57]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: 109692 (2024) - [j56]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: 110079 (2024) - [j55]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): 1313-1323 (2024) - [j54]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: 1-10 (2024) - 2023
- [j53]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: 119824 (2023) - [j52]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: 120274 (2023) - [j51]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: 120276 (2023) - [j50]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: 110199 (2023) - [j49]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: 108890 (2023) - [j48]Peng Ding, Xiaoli Zhao, Haidong Shao, Minping Jia:
Machinery cross domain degradation prognostics considering compound domain shifts. Reliab. Eng. Syst. Saf. 239: 109490 (2023) - [j47]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: 109551 (2023) - [j46]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): 4379 (2023) - [j45]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): 6234-6245 (2023) - [j44]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: 1-11 (2023) - [j43]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): 6339-6353 (2023) - [c4]Yudong Cao, Minping Jia, Jichao Zhuang:
Health Trend Prediction of Rolling Bearings using Transferable Autoregressive Recurrent Adaptation Approach. DSA 2023: 554-558 - 2022
- [j42]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: 101691 (2022) - [j41]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: 109271 (2022) - [j40]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): 108126 (2022) - [j39]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: 108599 (2022) - [j38]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: 108685 (2022) - [j37]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): 6184 (2022) - [j36]Peng Ding, Minping Jia:
Mechatronics Equipment Performance Degradation Assessment Using Limited and Unlabeled Data. IEEE Trans. Ind. Informatics 18(4): 2374-2385 (2022) - [j35]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): 6131-6141 (2022) - [j34]Yifei Ding, Minping Jia:
Convolutional Transformer: An Enhanced Attention Mechanism Architecture for Remaining Useful Life Estimation of Bearings. IEEE Trans. Instrum. Meas. 71: 1-10 (2022) - [j33]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: 1-12 (2022) - 2021
- [j32]Peng Ding, Minping Jia, Xiaoli Zhao:
Meta deep learning based rotating machinery health prognostics toward few-shot prognostics. Appl. Soft Comput. 104: 107211 (2021) - [j31]Maoyou Ye, Xiaoan Yan, Minping Jia:
Rolling Bearing Fault Diagnosis Based on VMD-MPE and PSO-SVM. Entropy 23(6): 762 (2021) - [j30]Xiaoan Yan, Yadong Xu, Minping Jia:
Intelligent Fault Diagnosis of Rolling-Element Bearings Using a Self-Adaptive Hierarchical Multiscale Fuzzy Entropy. Entropy 23(9): 1128 (2021) - [j29]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): 1372 (2021) - [j28]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): 2150052:1-2150052:13 (2021) - [j27]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: 107142 (2021) - [j26]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: 107583 (2021) - [j25]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: 107813 (2021) - [j24]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: 107946 (2021) - [j23]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): 5450-5460 (2021) - [j22]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: 1-12 (2021) - [j21]Yifei Ding, Minping Jia, Yudong Cao:
Remaining Useful Life Estimation Under Multiple Operating Conditions via Deep Subdomain Adaptation. IEEE Trans. Instrum. Meas. 70: 1-11 (2021) - [j20]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: 1-12 (2021) - [j19]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: 1-13 (2021) - [j18]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: 1-12 (2021) - [i1]Yifei Ding, Minping Jia, Qiuhua Miao, Yudong Cao:
A novel Time-frequency Transformer and its Application in Fault Diagnosis of Rolling Bearings. CoRR abs/2104.09079 (2021) - 2020
- [j17]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: 99154-99170 (2020) - [j16]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: 4032628:1-4032628:29 (2020) - [j15]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: 105484 (2020) - [j14]Xiaoan Yan, Ying Liu, Minping Jia:
A Fault Diagnosis Approach for Rolling Bearing Integrated SGMD, IMSDE and Multiclass Relevance Vector Machine. Sensors 20(15): 4352 (2020) - [c3]Peng Ding, Minping Jia:
Intelligent health evaluation of rolling bearings based on subspace meta-learning. INDIN 2020: 750-754
2010 – 2019
- 2019
- [j13]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: 123436-123452 (2019) - [j12]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: 138426-138441 (2019) - [j11]Xiaoli Zhao, Minping Jia:
A new Local-Global Deep Neural Network and its application in rotating machinery fault diagnosis. Neurocomputing 366: 215-233 (2019) - [j10]Xiaoan Yan, Minping Jia:
Intelligent fault diagnosis of rotating machinery using improved multiscale dispersion entropy and mRMR feature selection. Knowl. Based Syst. 163: 450-471 (2019) - 2018
- [j9]Kang He, Minping Jia, Conghu Liu:
A Review of Optimal Sensor Deployment to Diagnose Manufacturing Systems. IEEE Access 6: 27418-27432 (2018) - [j8]Kang He, Zhuanzhe Zhao, Minping Jia, Conghu Liu:
Dynamic Bayesian Network-Based Approach by Integrating Sensor Deployment for Machining Process Monitoring. IEEE Access 6: 33362-33375 (2018) - [j7]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: 47-64 (2018) - [j6]Xiaoli Zhao, Minping Jia:
Fault diagnosis of rolling bearing based on feature reduction with global-local margin Fisher analysis. Neurocomputing 315: 447-464 (2018) - 2016
- [j5]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): 653-664 (2016) - [j4]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): 375-385 (2016) - [j3]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): 963-975 (2016) - 2015
- [j2]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): 1092-1103 (2015) - 2014
- [j1]Qingsong Xu, Minping Jia:
Model Reference Adaptive Control With Perturbation Estimation for a Micropositioning System. IEEE Trans. Control. Syst. Technol. 22(1): 352-359 (2014)
2000 – 2009
- 2009
- [c2]Quansheng Jiang, Minping Jia:
Supervised Laplacian Eigenmaps for Machinery Fault Classification. CSIE (7) 2009: 116-120 - [c1]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: 202-206
Coauthor Index
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last updated on 2024-10-07 22:13 CEST by the dblp team
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