Minping Jia
Orcid: 0000-0002-9789-7533
According to our database1,
Minping Jia
authored at least 69 papers
between 2009 and 2024.
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Bibliography
2024
A Graph-Embedded Subdomain Adaptation Approach for Remaining Useful Life Prediction of Industrial IoT Systems.
IEEE Internet Things J., July, 2024
Unsupervised Fault Detection With Deep One-Class Classification and Manifold Distribution Alignment.
IEEE Trans. Ind. Informatics, February, 2024
Complex augmented representation network for transferable health prognosis of rolling bearing considering dynamic covariate shift.
Reliab. Eng. Syst. Saf., January, 2024
Multichannel Fault Diagnosis of Planetary Gearbox via Difference-Average Symbol Transition Entropy and Twin Support Higher-Order Tensor Machine.
IEEE Trans. Instrum. Meas., 2024
Source-free domain adaptation for transferable remaining useful life prediction of machine considering source data absence.
Reliab. Eng. Syst. Saf., 2024
Knowl. Based Syst., 2024
Online Knowledge Distillation for Machine Health Prognosis Considering Edge Deployment.
IEEE Internet Things J., 2024
Cost-sensitive learning considering label and feature distribution consistency: A novel perspective for health prognosis of rotating machinery with imbalanced data.
Expert Syst. Appl., 2024
Residual attention temporal recurrent network for fault diagnosis of gearboxes under limited labeled data.
Eng. Appl. Artif. Intell., 2024
An autoregressive model-based degradation trend prognosis considering health indicators with multiscale attention information.
Eng. Appl. Artif. Intell., 2024
Graph structure few-shot prognostics for machinery remaining useful life prediction under variable operating conditions.
Adv. Eng. Informatics, 2024
2023
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., December, 2023
Reliab. Eng. Syst. Saf., November, 2023
Remaining useful life prediction of bearings using multi-source adversarial online regression under online unknown conditions.
Expert Syst. Appl., October, 2023
Intelligent Fault Diagnosis of Gearbox Under Variable Working Conditions With Adaptive Intraclass and Interclass Convolutional Neural Network.
IEEE Trans. Neural Networks Learn. Syst., September, 2023
Fault diagnosis of bearings using a two-stage transfer alignment approach with semantic consistency and entropy loss.
Expert Syst. Appl., September, 2023
Semi-supervised machinery health assessment framework via temporal broad learning system embedding manifold regularization with unlabeled data.
Expert Syst. Appl., July, 2023
Incremental Learning for Remaining Useful Life Prediction via Temporal Cascade Broad Learning System With Newly Acquired Data.
IEEE Trans. Ind. Informatics, April, 2023
Picture-in-Picture Strategy-Based Complex Graph Neural Network for Remaining Useful Life Prediction of Rotating Machinery.
IEEE Trans. Instrum. Meas., 2023
Intelligent Health Assessment of Aviation Bearing Based on Deep Transfer Graph Convolutional Networks under Large Speed Fluctuations.
Sensors, 2023
Deep imbalanced domain adaptation for transfer learning fault diagnosis of bearings under multiple working conditions.
Reliab. Eng. Syst. Saf., 2023
Domain generalization via adversarial out-domain augmentation for remaining useful life prediction of bearings under unseen conditions.
Knowl. Based Syst., 2023
Health Trend Prediction of Rolling Bearings using Transferable Autoregressive Recurrent Adaptation Approach.
Proceedings of the 10th International Conference on Dependable Systems and Their Applications, 2023
2022
Multiobjective Evolution Enhanced Collaborative Health Monitoring and Prognostics: A Case Study of Bearing Life Test With Three-Axis Acceleration Signals.
IEEE Trans. Instrum. Meas., 2022
Convolutional Transformer: An Enhanced Attention Mechanism Architecture for Remaining Useful Life Estimation of Bearings.
IEEE Trans. Instrum. Meas., 2022
Hierarchical Symbol Transition Entropy: A Novel Feature Extractor for Machinery Health Monitoring.
IEEE Trans. Ind. Informatics, 2022
Mechatronics Equipment Performance Degradation Assessment Using Limited and Unlabeled Data.
IEEE Trans. Ind. Informatics, 2022
Bearing Fault Feature Extraction Method Based on Enhanced Differential Product Weighted Morphological Filtering.
Sensors, 2022
An adversarial transfer network with supervised metric for remaining useful life prediction of rolling bearing under multiple working conditions.
Reliab. Eng. Syst. Saf., 2022
Semi-supervised double attention guided assessment approach for remaining useful life of rotating machinery.
Reliab. Eng. Syst. Saf., 2022
Self-supervised pretraining via contrast learning for intelligent incipient fault detection of bearings.
Reliab. Eng. Syst. Saf., 2022
Deep imbalanced regression using cost-sensitive learning and deep feature transfer for bearing remaining useful life estimation.
Appl. Soft Comput., 2022
Intelligent machinery health prognostics under variable operation conditions with limited and variable-length data.
Adv. Eng. Informatics, 2022
2021
Multiple-Order Graphical Deep Extreme Learning Machine for Unsupervised Fault Diagnosis of Rolling Bearing.
IEEE Trans. Instrum. Meas., 2021
Semisupervised Deep Sparse Auto-Encoder With Local and Nonlocal Information for Intelligent Fault Diagnosis of Rotating Machinery.
IEEE Trans. Instrum. Meas., 2021
Statistical Alignment-Based Metagated Recurrent Unit for Cross-Domain Machinery Degradation Trend Prognostics Using Limited Data.
IEEE Trans. Instrum. Meas., 2021
Remaining Useful Life Estimation Under Multiple Operating Conditions via Deep Subdomain Adaptation.
IEEE Trans. Instrum. Meas., 2021
A Novel Remaining Useful Life Prediction Method of Rolling Bearings Based on Deep Transfer Auto-Encoder.
IEEE Trans. Instrum. Meas., 2021
Semisupervised Graph Convolution Deep Belief Network for Fault Diagnosis of Electormechanical System With Limited Labeled Data.
IEEE Trans. Ind. Informatics, 2021
Temporal convolution-based transferable cross-domain adaptation approach for remaining useful life estimation under variable failure behaviors.
Reliab. Eng. Syst. Saf., 2021
Remaining useful life estimation using deep metric transfer learning for kernel regression.
Reliab. Eng. Syst. Saf., 2021
A novel temporal convolutional network with residual self-attention mechanism for remaining useful life prediction of rolling bearings.
Reliab. Eng. Syst. Saf., 2021
Deep regularized variational autoencoder for intelligent fault diagnosis of rotor-bearing system within entire life-cycle process.
Knowl. Based Syst., 2021
Experiment and analysis on chaotic characteristics vibration mill with variable rotational speed.
Int. J. Model. Simul. Sci. Comput., 2021
Intelligent Fault Diagnosis of Rolling-Element Bearings Using a Self-Adaptive Hierarchical Multiscale Fuzzy Entropy.
Entropy, 2021
Application of Generalized Composite Multiscale Lempel-Ziv Complexity in Identifying Wind Turbine Gearbox Faults.
Entropy, 2021
A novel Time-frequency Transformer and its Application in Fault Diagnosis of Rolling Bearings.
CoRR, 2021
Meta deep learning based rotating machinery health prognostics toward few-shot prognostics.
Appl. Soft Comput., 2021
2020
A Fault Diagnosis Approach for Rolling Bearing Integrated SGMD, IMSDE and Multiclass Relevance Vector Machine.
Sensors, 2020
Multiscale cascading deep belief network for fault identification of rotating machinery under various working conditions.
Knowl. Based Syst., 2020
Fault Diagnosis of Rolling-Element Bearing Using Multiscale Pattern Gradient Spectrum Entropy Coupled with Laplacian Score.
Complex., 2020
Fault Diagnosis Framework of Rolling Bearing Using Adaptive Sparse Contrative Auto-Encoder With Optimized Unsupervised Extreme Learning Machine.
IEEE Access, 2020
Proceedings of the 18th IEEE International Conference on Industrial Informatics, 2020
2019
Intelligent fault diagnosis of rotating machinery using improved multiscale dispersion entropy and mRMR feature selection.
Knowl. Based Syst., 2019
A new Local-Global Deep Neural Network and its application in rotating machinery fault diagnosis.
Neurocomputing, 2019
A Multi-Stage Hybrid Fault Diagnosis Approach for Rolling Element Bearing Under Various Working Conditions.
IEEE Access, 2019
A Feature Selection Framework-Based Multiscale Morphological Analysis Algorithm for Fault Diagnosis of Rolling Element Bearing.
IEEE Access, 2019
2018
Fault diagnosis of rolling bearing based on feature reduction with global-local margin Fisher analysis.
Neurocomputing, 2018
A novel optimized SVM classification algorithm with multi-domain feature and its application to fault diagnosis of rolling bearing.
Neurocomputing, 2018
Dynamic Bayesian Network-Based Approach by Integrating Sensor Deployment for Machining Process Monitoring.
IEEE Access, 2018
IEEE Access, 2018
2016
Optimal Sensor Deployment for Manufacturing Process Monitoring Based on Quantitative Cause-Effect Graph.
IEEE Trans Autom. Sci. Eng., 2016
Improved shuffled frog leaping algorithm-based BP neural network and its application in bearing early fault diagnosis.
Neural Comput. Appl., 2016
Sensor network optimization of gearbox based on dependence matrix and improved discrete shuffled frog leaping algorithm.
Nat. Comput., 2016
2015
Modeling and Predicting Surface Roughness in Hard Turning Using a Bayesian Inference-Based HMM-SVM Model.
IEEE Trans Autom. Sci. Eng., 2015
2014
Model Reference Adaptive Control With Perturbation Estimation for a Micropositioning System.
IEEE Trans. Control. Syst. Technol., 2014
2009
Proceedings of the CSIE 2009, 2009 WRI World Congress on Computer Science and Information Engineering, March 31, 2009
A Study on the Technique of Measuring the Fill Level Based on the Vibration Signal of the Ball Mill Shell.
Proceedings of the CSIE 2009, 2009 WRI World Congress on Computer Science and Information Engineering, March 31, 2009