Min Xia
Orcid: 0000-0001-8057-9654Affiliations:
- Lancaster University, Department of Engineering, UK
According to our database1,
Min Xia
authored at least 47 papers
between 2016 and 2024.
Collaborative distances:
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Bibliography
2024
KBRDBN: An Interpretable Deep Belief Network for the Fault Diagnosis of the Trolley Mechanism in Ship-to-Shore Cranes.
IEEE Trans. Instrum. Meas., 2024
Nonlinear Blind Deconvolution Based on Generalized Normalized l<sub>p</sub>/l<sub>q</sub> Norm for Early Fault Detection.
IEEE Trans. Instrum. Meas., 2024
2023
Intelligent machine fault diagnosis with effective denoising using EEMD-ICA- FuzzyEn and CNN.
Int. J. Prod. Res., December, 2023
Trustworthy Fault Diagnosis With Uncertainty Estimation Through Evidential Convolutional Neural Networks.
IEEE Trans. Ind. Informatics, November, 2023
Variant-Depth Neural Networks for Deblurring Traffic Images in Intelligent Transportation Systems.
IEEE Trans. Intell. Transp. Syst., June, 2023
Cross-domain augmentation diagnosis: An adversarial domain-augmented generalization method for fault diagnosis under unseen working conditions.
Reliab. Eng. Syst. Saf., June, 2023
A New Multisensor Partial Domain Adaptation Method for Machinery Fault Diagnosis Under Different Working Conditions.
IEEE Trans. Instrum. Meas., 2023
IEEE Trans. Instrum. Meas., 2023
Computational Framework for Turbid Water Single-Pixel Imaging by Polynomial Regression and Feature Enhancement.
IEEE Trans. Instrum. Meas., 2023
Condition Monitoring and Anomaly Detection of Wind Turbines Using Temporal Convolutional Informer and Robust Dynamic Mahalanobis Distance.
IEEE Trans. Instrum. Meas., 2023
Edge Solution for Real-Time Motor Fault Diagnosis Based on Efficient Convolutional Neural Network.
IEEE Trans. Instrum. Meas., 2023
Noise-Boosted Convolutional Neural Network for Edge-Based Motor Fault Diagnosis With Limited Samples.
IEEE Trans. Ind. Informatics, 2023
Real-Time Quality Inspection of Motor Rotor Using Cost-Effective Intelligent Edge System.
IEEE Internet Things J., 2023
Condition monitoring of wind turbine using novel deep learning method and dynamic kernel principal components Mahalanobis distance.
Eng. Appl. Artif. Intell., 2023
Enhancing Genetic Algorithm-Based Process Parameter Optimisation Through Grid Search-Optimised Artificial Neural Networks.
Proceedings of the 28th International Conference on Automation and Computing, 2023
2022
Intelligent Process Monitoring of Laser-Induced Graphene Production With Deep Transfer Learning.
IEEE Trans. Instrum. Meas., 2022
A Novel Multiview Sampling-Based Meta Self-Paced Learning Approach for Class-Imbalanced Intelligent Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2022
A New Adversarial Domain Generalization Network Based on Class Boundary Feature Detection for Bearing Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2022
Real-Time Defect Detection of Die Cast Rotor in Induction Motor Based on Circular Flux Sensing Coils.
IEEE Trans. Ind. Informatics, 2022
Guest Editorial: Special Section on Internet of Things and Artificial Intelligence for Product Life-Cycle Management of Complex Equipment.
IEEE Trans. Ind. Informatics, 2022
Adversarial Domain-Invariant Generalization: A Generic Domain-Regressive Framework for Bearing Fault Diagnosis Under Unseen Conditions.
IEEE Trans. Ind. Informatics, 2022
J. Sensors, 2022
Data-driven Process Parameter Optimisation for Laser Wire Metal Additive Manufacturing.
Proceedings of the 27th International Conference on Automation and Computing, 2022
An Experimental Case Study for the Course of 'Testing Technology and Data Processing'.
Proceedings of the Computer Science and Education - 17th International Conference, 2022
2021
Efficient Data Reduction at the Edge of Industrial Internet of Things for PMSM Bearing Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2021
Fault Diagnosis of a Rotor-Bearing System Under Variable Rotating Speeds Using Two-Stage Parameter Transfer and Infrared Thermal Images.
IEEE Trans. Instrum. Meas., 2021
A Stacked GRU-RNN-Based Approach for Predicting Renewable Energy and Electricity Load for Smart Grid Operation.
IEEE Trans. Ind. Informatics, 2021
Intelligent Fault Diagnosis of Rotor-Bearing System Under Varying Working Conditions With Modified Transfer Convolutional Neural Network and Thermal Images.
IEEE Trans. Ind. Informatics, 2021
Intelligent fault diagnosis of machinery using digital twin-assisted deep transfer learning.
Reliab. Eng. Syst. Saf., 2021
Expert Syst. Appl., 2021
A new sorting feature-based temporal convolutional network for remaining useful life prediction of rotating machinery.
Comput. Electr. Eng., 2021
2020
IEEE Trans. Veh. Technol., 2020
IEEE Trans. Ind. Informatics, 2020
Information-Based Hierarchical Planning for a Mobile Sensing Network in Environmental Mapping.
IEEE Syst. J., 2020
Reliab. Eng. Syst. Saf., 2020
Appl. Soft Comput., 2020
2019
A Two-Stage Approach for the Remaining Useful Life Prediction of Bearings Using Deep Neural Networks.
IEEE Trans. Ind. Informatics, 2019
A Hybrid Computing Solution and Resource Scheduling Strategy for Edge Computing in Smart Manufacturing.
IEEE Trans. Ind. Informatics, 2019
Ieee Access Special Section Editorial: Key Technologies for Smart Factory of Industry 4.0.
IEEE Access, 2019
2018
IEEE Trans. Ind. Informatics, 2018
2017
An Energy Efficient Adaptive Sampling Algorithm in a Sensor Network for Automated Water Quality Monitoring.
Sensors, 2017
Automated Water Quality Survey and Evaluation Using an IoT Platform with Mobile Sensor Nodes.
Sensors, 2017
Mob. Networks Appl., 2017
Remaining useful life prediction of rotating machinery using hierarchical deep neural network.
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017
A hexagonal grid-based sampling planner for aquatic environmental monitoring using unmanned surface vehicles.
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017
2016
Closed-loop design evolution of engineering system using condition monitoring through internet of things and cloud computing.
Comput. Networks, 2016