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Minping Jia
ORCID
Publication Activity (10 Years)
Years Active: 2009-2024
Publications (10 Years): 65
Top Topics
Labeled Data
Rotating Machinery
Fault Diagnosis
Domain Adaptation
Top Venues
Reliab. Eng. Syst. Saf.
IEEE Trans. Instrum. Meas.
IEEE Trans. Ind. Informatics
Knowl. Based Syst.
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Publications
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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)